Commit
•
a6f4731
1
Parent(s):
3c61fd9
first
Browse files- .gitattributes +1 -0
- README.md +110 -0
- config.json +35 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- trainer_state.json +2026 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -6,3 +6,4 @@
|
|
| 6 |
*.tar.gz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 8 |
*.onnx filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 6 |
*.tar.gz filter=lfs diff=lfs merge=lfs -text
|
| 7 |
*.ot filter=lfs diff=lfs merge=lfs -text
|
| 8 |
*.onnx filter=lfs diff=lfs merge=lfs -text
|
| 9 |
+
*.pt filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,110 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Exo-Machina
|
| 2 |
+
A deep language model, GPT-2, is trained on scientific manuscripts from NASA's Astrophysical Data System pertaining to extrasolar planets and the references therein. This pilot study uses the abstracts of each article as training data in order to explore correlations in scientific literature from a language perspective. A language model is a mathematical representation for an algorithm used to generate sequences in the same way a human would to form sentances. Each word or letter in a sentance is encoded to a numerical value (e.g. using word2vec) and is appended to a list forming sequences that represent up to a paragraph worth of text. The sequences are fed into the [GPT-2](https://openai.com/blog/better-language-models/) 117M model and trained for 500,000 steps with fine tuning. After training, the language model is used to generate new text from scratch and from user input.
|
| 3 |
+
|
| 4 |
+
- ### [Browse some samples](https://pearsonkyle.github.io/Exo-Machina/)
|
| 5 |
+
|
| 6 |
+
- ### [Train a model on Google Colab]()
|
| 7 |
+
|
| 8 |
+
### Get started fast:
|
| 9 |
+
|
| 10 |
+
```python
|
| 11 |
+
from transformers import pipeline
|
| 12 |
+
|
| 13 |
+
exo = pipeline('text-generation',model='gpt2-exomachina/checkpoint-320000', tokenizer='gpt2', config={'max_length':1600})
|
| 14 |
+
machina = lambda text: exo(text)[0]['generated_text']
|
| 15 |
+
|
| 16 |
+
print(machina("Transiting exoplanets are"))
|
| 17 |
+
```
|
| 18 |
+
|
| 19 |
+
## Training Samples
|
| 20 |
+
~40,000 Abstracts from NASA's Astrophysical data system (ADS) and ArXiv.
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
A few generated samples are below:
|
| 25 |
+
|
| 26 |
+
- *We can remotely sense an atmosphere by observing its reflected, transmitted, or emitted light in varying geometries. This light will contain information on the planetary conditions including* `temperature, pressure, composition, and cloud optical thickness. One such property that is important is...`
|
| 27 |
+
- *The reflectance of Earth's vegetation suggests*
|
| 28 |
+
`that large, deciduous forest fires are composed of mostly dry, unprocessed material that is distributed in a nearly patchy fashion. The distributions of these fires are correlated with temperature, and also with vegetation...`
|
| 29 |
+
- *Directly imaged exoplanets probe* `key aspects of planet formation and evolution theory, as well as atmospheric and interior physics. These insights have led to numerous direct imaging instruments for exoplanets, many using polarimetry. However, current instruments take`
|
| 30 |
+
|
| 31 |
+
## Instructions
|
| 32 |
+
|
| 33 |
+
- ### Setup a SQL Databse to store training samples
|
| 34 |
+
A postegres SQL database is set up on Amazon RDS in order to provide online access to the same data for multiple computers. Follow the instructions below to set up your own database using the Free Tier of services on AWS:
|
| 35 |
+
|
| 36 |
+
1. sign in or register: https://aws.amazon.com/
|
| 37 |
+
2. Search for a services and go to RDS
|
| 38 |
+
|
| 39 |
+
Add your credentials to a new file called `settings.json` like such:
|
| 40 |
+
```
|
| 41 |
+
{
|
| 42 |
+
"database":{
|
| 43 |
+
"dialect":"postgresql",
|
| 44 |
+
"username":"readonly",
|
| 45 |
+
"password":"readonly",
|
| 46 |
+
"endpoint":"exomachina.c4luhvcn1k1s.us-east-2.rds.amazonaws.com",
|
| 47 |
+
"port":5432,
|
| 48 |
+
"dbname":"exomachina"
|
| 49 |
+
}
|
| 50 |
+
}
|
| 51 |
+
```
|
| 52 |
+
|
| 53 |
+
## Scraping NASA ADS
|
| 54 |
+
|
| 55 |
+
https://ads.readthedocs.io/en/latest/
|
| 56 |
+
|
| 57 |
+
Scrape ADS and save entries into a sql database:
|
| 58 |
+
|
| 59 |
+
`python ads_query.py -s settings.json -q exoplanet`
|
| 60 |
+
|
| 61 |
+
```
|
| 62 |
+
usage: ads_query.py [-h] [-q QUERY] [-s SETTINGS] [-k KEY]
|
| 63 |
+
|
| 64 |
+
optional arguments:
|
| 65 |
+
-h, --help show this help message and exit
|
| 66 |
+
-q QUERY, --query QUERY
|
| 67 |
+
Initial search criteria
|
| 68 |
+
-s SETTINGS, --settings SETTINGS
|
| 69 |
+
Settings file
|
| 70 |
+
-k KEY, --key KEY Settings key
|
| 71 |
+
```
|
| 72 |
+
|
| 73 |
+
Letting the scrape run for ~2 hours found articles from these publications in descending order:
|
| 74 |
+
```
|
| 75 |
+
5364 - The Astrophysical Journal
|
| 76 |
+
3365 - Astronomy and Astrophysics
|
| 77 |
+
2704 - Monthly Notices of the Royal Astronomical Society
|
| 78 |
+
1355 - The Astronomical Journal
|
| 79 |
+
617 - arXiv e-prints
|
| 80 |
+
498 - Icarus
|
| 81 |
+
388 - Publications of the Astronomical Society of the Pacific
|
| 82 |
+
324 - The Astrophysical Journal Supplement Series
|
| 83 |
+
245 - Nature
|
| 84 |
+
187 - Journal of Geophysical Research
|
| 85 |
+
167 - Science
|
| 86 |
+
145 - Astronomische Nachrichten
|
| 87 |
+
129 - Planetary and Space Science
|
| 88 |
+
114 - Space Science Reviews
|
| 89 |
+
109 - Geophysical Research Letters
|
| 90 |
+
```
|
| 91 |
+
|
| 92 |
+
The number of manuscripts for each year:
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
## Pre-processing
|
| 96 |
+
Extract abstracts from the database and create a new file where each line is an new sample. Try a new tokenizer
|
| 97 |
+
|
| 98 |
+
## Things to improve
|
| 99 |
+
|
| 100 |
+
## Export the models to an iOS application
|
| 101 |
+
|
| 102 |
+
|
| 103 |
+
References
|
| 104 |
+
- https://huggingface.co/roberta-base
|
| 105 |
+
- GPT-2 generative text
|
| 106 |
+
- https://huggingface.co/docs
|
| 107 |
+
- https://huggingface.co/transformers/training.html
|
| 108 |
+
- https://huggingface.co/transformers/notebooks.html
|
| 109 |
+
https://colab.research.google.com/drive/1vsCh85T_Od7RBwXfvh1iysV-vTxmWXQO#scrollTo=ljknzOlNoyrv
|
| 110 |
+
http://jalammar.github.io/illustrated-gpt2/
|
config.json
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "./gpt2-exomachina/checkpoint-109000",
|
| 3 |
+
"activation_function": "gelu_new",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"GPT2LMHeadModel"
|
| 6 |
+
],
|
| 7 |
+
"attn_pdrop": 0.1,
|
| 8 |
+
"bos_token_id": 50256,
|
| 9 |
+
"embd_pdrop": 0.1,
|
| 10 |
+
"eos_token_id": 50256,
|
| 11 |
+
"gradient_checkpointing": false,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"layer_norm_epsilon": 1e-05,
|
| 14 |
+
"model_type": "gpt2",
|
| 15 |
+
"n_ctx": 1024,
|
| 16 |
+
"n_embd": 768,
|
| 17 |
+
"n_head": 12,
|
| 18 |
+
"n_inner": null,
|
| 19 |
+
"n_layer": 12,
|
| 20 |
+
"n_positions": 1024,
|
| 21 |
+
"pad_token_id": 50256,
|
| 22 |
+
"resid_pdrop": 0.1,
|
| 23 |
+
"summary_activation": null,
|
| 24 |
+
"summary_first_dropout": 0.1,
|
| 25 |
+
"summary_proj_to_labels": true,
|
| 26 |
+
"summary_type": "cls_index",
|
| 27 |
+
"summary_use_proj": true,
|
| 28 |
+
"task_specific_params": {
|
| 29 |
+
"text-generation": {
|
| 30 |
+
"do_sample": true,
|
| 31 |
+
"max_length": 50
|
| 32 |
+
}
|
| 33 |
+
},
|
| 34 |
+
"vocab_size": 50257
|
| 35 |
+
}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a221bc4b1968eda415bba8c105db6a2b8b579edc18d1e3592730d101e8d80126
|
| 3 |
+
size 995610991
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:221f869bcca2d877a6bdf0f9b7bf14aac02003800ac264f8b39100f9db2d1f1c
|
| 3 |
+
size 510407951
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4538d9d56412255e685cbe4b709f49c4c2ce0cf165b70b84bab6f912af923e07
|
| 3 |
+
size 623
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2026 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 63.36296576508417,
|
| 5 |
+
"global_step": 335000,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.18914318138831096,
|
| 12 |
+
"learning_rate": 4.990542840930585e-05,
|
| 13 |
+
"loss": 2.2949150390625,
|
| 14 |
+
"step": 1000
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.3782863627766219,
|
| 18 |
+
"learning_rate": 4.981085681861169e-05,
|
| 19 |
+
"loss": 2.31815234375,
|
| 20 |
+
"step": 2000
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.5674295441649329,
|
| 24 |
+
"learning_rate": 4.9716285227917534e-05,
|
| 25 |
+
"loss": 2.32872216796875,
|
| 26 |
+
"step": 3000
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.7565727255532438,
|
| 30 |
+
"learning_rate": 4.962171363722338e-05,
|
| 31 |
+
"loss": 2.33826904296875,
|
| 32 |
+
"step": 4000
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.9457159069415547,
|
| 36 |
+
"learning_rate": 4.9527142046529224e-05,
|
| 37 |
+
"loss": 2.340685546875,
|
| 38 |
+
"step": 5000
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 1.1348590883298657,
|
| 42 |
+
"learning_rate": 4.943257045583507e-05,
|
| 43 |
+
"loss": 2.28626953125,
|
| 44 |
+
"step": 6000
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 1.3240022697181766,
|
| 48 |
+
"learning_rate": 4.9337998865140915e-05,
|
| 49 |
+
"loss": 2.27450390625,
|
| 50 |
+
"step": 7000
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 1.5131454511064875,
|
| 54 |
+
"learning_rate": 4.9243427274446756e-05,
|
| 55 |
+
"loss": 2.287498046875,
|
| 56 |
+
"step": 8000
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 1.7022886324947986,
|
| 60 |
+
"learning_rate": 4.9148855683752605e-05,
|
| 61 |
+
"loss": 2.30305078125,
|
| 62 |
+
"step": 9000
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 1.8914318138831097,
|
| 66 |
+
"learning_rate": 4.905428409305845e-05,
|
| 67 |
+
"loss": 2.30912890625,
|
| 68 |
+
"step": 10000
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 2.0805749952714203,
|
| 72 |
+
"learning_rate": 4.895971250236429e-05,
|
| 73 |
+
"loss": 2.272595703125,
|
| 74 |
+
"step": 11000
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 2.2697181766597314,
|
| 78 |
+
"learning_rate": 4.886514091167014e-05,
|
| 79 |
+
"loss": 2.238087890625,
|
| 80 |
+
"step": 12000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 2.4588613580480425,
|
| 84 |
+
"learning_rate": 4.877056932097598e-05,
|
| 85 |
+
"loss": 2.253140625,
|
| 86 |
+
"step": 13000
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 2.648004539436353,
|
| 90 |
+
"learning_rate": 4.867599773028183e-05,
|
| 91 |
+
"loss": 2.26483203125,
|
| 92 |
+
"step": 14000
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 2.8371477208246643,
|
| 96 |
+
"learning_rate": 4.858142613958767e-05,
|
| 97 |
+
"loss": 2.2735078125,
|
| 98 |
+
"step": 15000
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 3.0262909022129754,
|
| 102 |
+
"learning_rate": 4.848685454889351e-05,
|
| 103 |
+
"loss": 2.27125,
|
| 104 |
+
"step": 16000
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 3.215434083601286,
|
| 108 |
+
"learning_rate": 4.839228295819936e-05,
|
| 109 |
+
"loss": 2.20089453125,
|
| 110 |
+
"step": 17000
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 3.404577264989597,
|
| 114 |
+
"learning_rate": 4.829771136750521e-05,
|
| 115 |
+
"loss": 2.2166953125,
|
| 116 |
+
"step": 18000
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 3.593720446377908,
|
| 120 |
+
"learning_rate": 4.820313977681105e-05,
|
| 121 |
+
"loss": 2.2287421875,
|
| 122 |
+
"step": 19000
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 3.782863627766219,
|
| 126 |
+
"learning_rate": 4.810856818611689e-05,
|
| 127 |
+
"loss": 2.242296875,
|
| 128 |
+
"step": 20000
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 3.97200680915453,
|
| 132 |
+
"learning_rate": 4.801399659542274e-05,
|
| 133 |
+
"loss": 2.25162109375,
|
| 134 |
+
"step": 21000
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 4.161149990542841,
|
| 138 |
+
"learning_rate": 4.791942500472858e-05,
|
| 139 |
+
"loss": 2.17917578125,
|
| 140 |
+
"step": 22000
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 4.350293171931152,
|
| 144 |
+
"learning_rate": 4.782485341403443e-05,
|
| 145 |
+
"loss": 2.1837734375,
|
| 146 |
+
"step": 23000
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 4.539436353319463,
|
| 150 |
+
"learning_rate": 4.773028182334027e-05,
|
| 151 |
+
"loss": 2.1981953125,
|
| 152 |
+
"step": 24000
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 4.728579534707774,
|
| 156 |
+
"learning_rate": 4.763571023264611e-05,
|
| 157 |
+
"loss": 2.2091328125,
|
| 158 |
+
"step": 25000
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 4.917722716096085,
|
| 162 |
+
"learning_rate": 4.754113864195196e-05,
|
| 163 |
+
"loss": 2.22294140625,
|
| 164 |
+
"step": 26000
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 5.106865897484396,
|
| 168 |
+
"learning_rate": 4.744656705125781e-05,
|
| 169 |
+
"loss": 2.17415625,
|
| 170 |
+
"step": 27000
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 5.296009078872706,
|
| 174 |
+
"learning_rate": 4.7351995460563645e-05,
|
| 175 |
+
"loss": 2.1536875,
|
| 176 |
+
"step": 28000
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 5.485152260261017,
|
| 180 |
+
"learning_rate": 4.725742386986949e-05,
|
| 181 |
+
"loss": 2.17046484375,
|
| 182 |
+
"step": 29000
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 5.6742954416493285,
|
| 186 |
+
"learning_rate": 4.716285227917534e-05,
|
| 187 |
+
"loss": 2.17616796875,
|
| 188 |
+
"step": 30000
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 5.86343862303764,
|
| 192 |
+
"learning_rate": 4.706828068848118e-05,
|
| 193 |
+
"loss": 2.18503125,
|
| 194 |
+
"step": 31000
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 6.052581804425951,
|
| 198 |
+
"learning_rate": 4.6973709097787025e-05,
|
| 199 |
+
"loss": 2.172359375,
|
| 200 |
+
"step": 32000
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 6.241724985814262,
|
| 204 |
+
"learning_rate": 4.687913750709287e-05,
|
| 205 |
+
"loss": 2.118359375,
|
| 206 |
+
"step": 33000
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 6.430868167202572,
|
| 210 |
+
"learning_rate": 4.6784565916398715e-05,
|
| 211 |
+
"loss": 2.133546875,
|
| 212 |
+
"step": 34000
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 6.620011348590883,
|
| 216 |
+
"learning_rate": 4.6689994325704564e-05,
|
| 217 |
+
"loss": 2.1423671875,
|
| 218 |
+
"step": 35000
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 6.809154529979194,
|
| 222 |
+
"learning_rate": 4.6595422735010405e-05,
|
| 223 |
+
"loss": 2.1594921875,
|
| 224 |
+
"step": 36000
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 6.998297711367505,
|
| 228 |
+
"learning_rate": 4.650085114431625e-05,
|
| 229 |
+
"loss": 2.17365625,
|
| 230 |
+
"step": 37000
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 7.187440892755816,
|
| 234 |
+
"learning_rate": 4.6406279553622095e-05,
|
| 235 |
+
"loss": 2.0884140625,
|
| 236 |
+
"step": 38000
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 7.376584074144127,
|
| 240 |
+
"learning_rate": 4.631170796292794e-05,
|
| 241 |
+
"loss": 2.1023359375,
|
| 242 |
+
"step": 39000
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 7.565727255532438,
|
| 246 |
+
"learning_rate": 4.6217136372233786e-05,
|
| 247 |
+
"loss": 2.1240625,
|
| 248 |
+
"step": 40000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 7.754870436920749,
|
| 252 |
+
"learning_rate": 4.612256478153963e-05,
|
| 253 |
+
"loss": 2.126953125,
|
| 254 |
+
"step": 41000
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 7.94401361830906,
|
| 258 |
+
"learning_rate": 4.602799319084547e-05,
|
| 259 |
+
"loss": 2.1407265625,
|
| 260 |
+
"step": 42000
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 8.133156799697371,
|
| 264 |
+
"learning_rate": 4.593342160015132e-05,
|
| 265 |
+
"loss": 2.080640625,
|
| 266 |
+
"step": 43000
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 8.322299981085681,
|
| 270 |
+
"learning_rate": 4.5838850009457166e-05,
|
| 271 |
+
"loss": 2.07196875,
|
| 272 |
+
"step": 44000
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 8.511443162473993,
|
| 276 |
+
"learning_rate": 4.5744278418763e-05,
|
| 277 |
+
"loss": 2.0906640625,
|
| 278 |
+
"step": 45000
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 8.700586343862303,
|
| 282 |
+
"learning_rate": 4.564970682806885e-05,
|
| 283 |
+
"loss": 2.10053125,
|
| 284 |
+
"step": 46000
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 8.889729525250615,
|
| 288 |
+
"learning_rate": 4.55551352373747e-05,
|
| 289 |
+
"loss": 2.112328125,
|
| 290 |
+
"step": 47000
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 9.078872706638926,
|
| 294 |
+
"learning_rate": 4.546056364668054e-05,
|
| 295 |
+
"loss": 2.08459375,
|
| 296 |
+
"step": 48000
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 9.268015888027236,
|
| 300 |
+
"learning_rate": 4.536599205598638e-05,
|
| 301 |
+
"loss": 2.039546875,
|
| 302 |
+
"step": 49000
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 9.457159069415548,
|
| 306 |
+
"learning_rate": 4.527142046529223e-05,
|
| 307 |
+
"loss": 2.06175,
|
| 308 |
+
"step": 50000
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 9.646302250803858,
|
| 312 |
+
"learning_rate": 4.517684887459807e-05,
|
| 313 |
+
"loss": 2.076625,
|
| 314 |
+
"step": 51000
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 9.83544543219217,
|
| 318 |
+
"learning_rate": 4.508227728390392e-05,
|
| 319 |
+
"loss": 2.088609375,
|
| 320 |
+
"step": 52000
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 10.02458861358048,
|
| 324 |
+
"learning_rate": 4.498770569320976e-05,
|
| 325 |
+
"loss": 2.07996875,
|
| 326 |
+
"step": 53000
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 10.213731794968792,
|
| 330 |
+
"learning_rate": 4.48931341025156e-05,
|
| 331 |
+
"loss": 2.0183828125,
|
| 332 |
+
"step": 54000
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 10.402874976357102,
|
| 336 |
+
"learning_rate": 4.479856251182145e-05,
|
| 337 |
+
"loss": 2.0310546875,
|
| 338 |
+
"step": 55000
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 10.592018157745413,
|
| 342 |
+
"learning_rate": 4.47039909211273e-05,
|
| 343 |
+
"loss": 2.0436796875,
|
| 344 |
+
"step": 56000
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 10.781161339133725,
|
| 348 |
+
"learning_rate": 4.460941933043314e-05,
|
| 349 |
+
"loss": 2.0622109375,
|
| 350 |
+
"step": 57000
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 10.970304520522035,
|
| 354 |
+
"learning_rate": 4.4514847739738984e-05,
|
| 355 |
+
"loss": 2.06621875,
|
| 356 |
+
"step": 58000
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 11.159447701910347,
|
| 360 |
+
"learning_rate": 4.442027614904483e-05,
|
| 361 |
+
"loss": 2.0049921875,
|
| 362 |
+
"step": 59000
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 11.348590883298657,
|
| 366 |
+
"learning_rate": 4.4325704558350674e-05,
|
| 367 |
+
"loss": 2.00809375,
|
| 368 |
+
"step": 60000
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 11.537734064686967,
|
| 372 |
+
"learning_rate": 4.423113296765652e-05,
|
| 373 |
+
"loss": 2.017078125,
|
| 374 |
+
"step": 61000
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 11.72687724607528,
|
| 378 |
+
"learning_rate": 4.4136561376962364e-05,
|
| 379 |
+
"loss": 2.03634375,
|
| 380 |
+
"step": 62000
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 11.91602042746359,
|
| 384 |
+
"learning_rate": 4.4041989786268206e-05,
|
| 385 |
+
"loss": 2.04240625,
|
| 386 |
+
"step": 63000
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 12.105163608851901,
|
| 390 |
+
"learning_rate": 4.3947418195574054e-05,
|
| 391 |
+
"loss": 1.99821875,
|
| 392 |
+
"step": 64000
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 12.294306790240212,
|
| 396 |
+
"learning_rate": 4.3852846604879896e-05,
|
| 397 |
+
"loss": 1.9760625,
|
| 398 |
+
"step": 65000
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 12.483449971628524,
|
| 402 |
+
"learning_rate": 4.375827501418574e-05,
|
| 403 |
+
"loss": 1.995484375,
|
| 404 |
+
"step": 66000
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 12.672593153016834,
|
| 408 |
+
"learning_rate": 4.3663703423491586e-05,
|
| 409 |
+
"loss": 2.00321875,
|
| 410 |
+
"step": 67000
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 12.861736334405144,
|
| 414 |
+
"learning_rate": 4.356913183279743e-05,
|
| 415 |
+
"loss": 2.021078125,
|
| 416 |
+
"step": 68000
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 13.050879515793456,
|
| 420 |
+
"learning_rate": 4.3474560242103276e-05,
|
| 421 |
+
"loss": 2.004171875,
|
| 422 |
+
"step": 69000
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 13.240022697181766,
|
| 426 |
+
"learning_rate": 4.337998865140912e-05,
|
| 427 |
+
"loss": 1.9488125,
|
| 428 |
+
"step": 70000
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 13.429165878570078,
|
| 432 |
+
"learning_rate": 4.328541706071496e-05,
|
| 433 |
+
"loss": 1.967921875,
|
| 434 |
+
"step": 71000
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 13.618309059958388,
|
| 438 |
+
"learning_rate": 4.319084547002081e-05,
|
| 439 |
+
"loss": 1.984046875,
|
| 440 |
+
"step": 72000
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 13.807452241346699,
|
| 444 |
+
"learning_rate": 4.3096273879326657e-05,
|
| 445 |
+
"loss": 1.998828125,
|
| 446 |
+
"step": 73000
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 13.99659542273501,
|
| 450 |
+
"learning_rate": 4.30017022886325e-05,
|
| 451 |
+
"loss": 2.0024375,
|
| 452 |
+
"step": 74000
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 14.18573860412332,
|
| 456 |
+
"learning_rate": 4.290713069793834e-05,
|
| 457 |
+
"loss": 1.927890625,
|
| 458 |
+
"step": 75000
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 14.374881785511633,
|
| 462 |
+
"learning_rate": 4.281255910724419e-05,
|
| 463 |
+
"loss": 1.94315625,
|
| 464 |
+
"step": 76000
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 14.564024966899943,
|
| 468 |
+
"learning_rate": 4.271798751655003e-05,
|
| 469 |
+
"loss": 1.95571875,
|
| 470 |
+
"step": 77000
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 14.753168148288253,
|
| 474 |
+
"learning_rate": 4.262341592585587e-05,
|
| 475 |
+
"loss": 1.96771875,
|
| 476 |
+
"step": 78000
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 14.942311329676565,
|
| 480 |
+
"learning_rate": 4.252884433516172e-05,
|
| 481 |
+
"loss": 1.981109375,
|
| 482 |
+
"step": 79000
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 15.131454511064875,
|
| 486 |
+
"learning_rate": 4.243427274446756e-05,
|
| 487 |
+
"loss": 1.929875,
|
| 488 |
+
"step": 80000
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 15.320597692453187,
|
| 492 |
+
"learning_rate": 4.233970115377341e-05,
|
| 493 |
+
"loss": 1.91628125,
|
| 494 |
+
"step": 81000
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 15.509740873841498,
|
| 498 |
+
"learning_rate": 4.224512956307925e-05,
|
| 499 |
+
"loss": 1.938640625,
|
| 500 |
+
"step": 82000
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 15.69888405522981,
|
| 504 |
+
"learning_rate": 4.2150557972385094e-05,
|
| 505 |
+
"loss": 1.9478125,
|
| 506 |
+
"step": 83000
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 15.88802723661812,
|
| 510 |
+
"learning_rate": 4.205598638169094e-05,
|
| 511 |
+
"loss": 1.95146875,
|
| 512 |
+
"step": 84000
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 16.077170418006432,
|
| 516 |
+
"learning_rate": 4.196141479099679e-05,
|
| 517 |
+
"loss": 1.928953125,
|
| 518 |
+
"step": 85000
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 16.266313599394742,
|
| 522 |
+
"learning_rate": 4.186684320030263e-05,
|
| 523 |
+
"loss": 1.895140625,
|
| 524 |
+
"step": 86000
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 16.455456780783052,
|
| 528 |
+
"learning_rate": 4.1772271609608474e-05,
|
| 529 |
+
"loss": 1.909171875,
|
| 530 |
+
"step": 87000
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 16.644599962171363,
|
| 534 |
+
"learning_rate": 4.1677700018914316e-05,
|
| 535 |
+
"loss": 1.92403125,
|
| 536 |
+
"step": 88000
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 16.833743143559676,
|
| 540 |
+
"learning_rate": 4.1583128428220164e-05,
|
| 541 |
+
"loss": 1.935015625,
|
| 542 |
+
"step": 89000
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 17.022886324947986,
|
| 546 |
+
"learning_rate": 4.148855683752601e-05,
|
| 547 |
+
"loss": 1.92928125,
|
| 548 |
+
"step": 90000
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 17.212029506336297,
|
| 552 |
+
"learning_rate": 4.139398524683185e-05,
|
| 553 |
+
"loss": 1.86678125,
|
| 554 |
+
"step": 91000
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 17.401172687724607,
|
| 558 |
+
"learning_rate": 4.1299413656137696e-05,
|
| 559 |
+
"loss": 1.8859375,
|
| 560 |
+
"step": 92000
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 17.590315869112917,
|
| 564 |
+
"learning_rate": 4.1204842065443545e-05,
|
| 565 |
+
"loss": 1.90540625,
|
| 566 |
+
"step": 93000
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 17.77945905050123,
|
| 570 |
+
"learning_rate": 4.1110270474749386e-05,
|
| 571 |
+
"loss": 1.911765625,
|
| 572 |
+
"step": 94000
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 17.96860223188954,
|
| 576 |
+
"learning_rate": 4.101569888405523e-05,
|
| 577 |
+
"loss": 1.924671875,
|
| 578 |
+
"step": 95000
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 18.15774541327785,
|
| 582 |
+
"learning_rate": 4.092112729336108e-05,
|
| 583 |
+
"loss": 1.85646875,
|
| 584 |
+
"step": 96000
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 18.34688859466616,
|
| 588 |
+
"learning_rate": 4.082655570266692e-05,
|
| 589 |
+
"loss": 1.862640625,
|
| 590 |
+
"step": 97000
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 18.53603177605447,
|
| 594 |
+
"learning_rate": 4.073198411197277e-05,
|
| 595 |
+
"loss": 1.880921875,
|
| 596 |
+
"step": 98000
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 18.725174957442785,
|
| 600 |
+
"learning_rate": 4.063741252127861e-05,
|
| 601 |
+
"loss": 1.8903125,
|
| 602 |
+
"step": 99000
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 18.914318138831096,
|
| 606 |
+
"learning_rate": 4.054284093058445e-05,
|
| 607 |
+
"loss": 1.904015625,
|
| 608 |
+
"step": 100000
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 19.103461320219406,
|
| 612 |
+
"learning_rate": 4.04482693398903e-05,
|
| 613 |
+
"loss": 1.8575625,
|
| 614 |
+
"step": 101000
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 19.292604501607716,
|
| 618 |
+
"learning_rate": 4.035369774919615e-05,
|
| 619 |
+
"loss": 1.837125,
|
| 620 |
+
"step": 102000
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 19.481747682996026,
|
| 624 |
+
"learning_rate": 4.025912615850199e-05,
|
| 625 |
+
"loss": 1.859359375,
|
| 626 |
+
"step": 103000
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 19.67089086438434,
|
| 630 |
+
"learning_rate": 4.016455456780783e-05,
|
| 631 |
+
"loss": 1.867921875,
|
| 632 |
+
"step": 104000
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 19.86003404577265,
|
| 636 |
+
"learning_rate": 4.006998297711368e-05,
|
| 637 |
+
"loss": 1.88125,
|
| 638 |
+
"step": 105000
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 20.04917722716096,
|
| 642 |
+
"learning_rate": 3.997541138641952e-05,
|
| 643 |
+
"loss": 1.866546875,
|
| 644 |
+
"step": 106000
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 20.23832040854927,
|
| 648 |
+
"learning_rate": 3.988083979572537e-05,
|
| 649 |
+
"loss": 1.811046875,
|
| 650 |
+
"step": 107000
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 20.427463589937584,
|
| 654 |
+
"learning_rate": 3.978626820503121e-05,
|
| 655 |
+
"loss": 1.8318125,
|
| 656 |
+
"step": 108000
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 20.616606771325895,
|
| 660 |
+
"learning_rate": 3.969169661433705e-05,
|
| 661 |
+
"loss": 1.83990625,
|
| 662 |
+
"step": 109000
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 20.805749952714205,
|
| 666 |
+
"learning_rate": 3.95971250236429e-05,
|
| 667 |
+
"loss": 1.91721875,
|
| 668 |
+
"step": 110000
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 20.994893134102515,
|
| 672 |
+
"learning_rate": 3.950255343294875e-05,
|
| 673 |
+
"loss": 1.923984375,
|
| 674 |
+
"step": 111000
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 21.184036315490825,
|
| 678 |
+
"learning_rate": 3.9407981842254585e-05,
|
| 679 |
+
"loss": 1.846875,
|
| 680 |
+
"step": 112000
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 21.37317949687914,
|
| 684 |
+
"learning_rate": 3.931341025156043e-05,
|
| 685 |
+
"loss": 1.860984375,
|
| 686 |
+
"step": 113000
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 21.56232267826745,
|
| 690 |
+
"learning_rate": 3.9218838660866275e-05,
|
| 691 |
+
"loss": 1.8764375,
|
| 692 |
+
"step": 114000
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 21.75146585965576,
|
| 696 |
+
"learning_rate": 3.912426707017212e-05,
|
| 697 |
+
"loss": 1.88171875,
|
| 698 |
+
"step": 115000
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 21.94060904104407,
|
| 702 |
+
"learning_rate": 3.9029695479477965e-05,
|
| 703 |
+
"loss": 1.89409375,
|
| 704 |
+
"step": 116000
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 22.12975222243238,
|
| 708 |
+
"learning_rate": 3.8935123888783807e-05,
|
| 709 |
+
"loss": 1.847390625,
|
| 710 |
+
"step": 117000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 22.318895403820694,
|
| 714 |
+
"learning_rate": 3.8840552298089655e-05,
|
| 715 |
+
"loss": 1.83696875,
|
| 716 |
+
"step": 118000
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 22.508038585209004,
|
| 720 |
+
"learning_rate": 3.8745980707395504e-05,
|
| 721 |
+
"loss": 1.852484375,
|
| 722 |
+
"step": 119000
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 22.697181766597314,
|
| 726 |
+
"learning_rate": 3.8651409116701345e-05,
|
| 727 |
+
"loss": 1.86578125,
|
| 728 |
+
"step": 120000
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 22.886324947985624,
|
| 732 |
+
"learning_rate": 3.855683752600719e-05,
|
| 733 |
+
"loss": 1.877734375,
|
| 734 |
+
"step": 121000
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 23.075468129373935,
|
| 738 |
+
"learning_rate": 3.8462265935313035e-05,
|
| 739 |
+
"loss": 1.8471875,
|
| 740 |
+
"step": 122000
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 23.26461131076225,
|
| 744 |
+
"learning_rate": 3.836769434461888e-05,
|
| 745 |
+
"loss": 1.816078125,
|
| 746 |
+
"step": 123000
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 23.45375449215056,
|
| 750 |
+
"learning_rate": 3.8273122753924726e-05,
|
| 751 |
+
"loss": 1.833703125,
|
| 752 |
+
"step": 124000
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 23.64289767353887,
|
| 756 |
+
"learning_rate": 3.817855116323057e-05,
|
| 757 |
+
"loss": 1.840984375,
|
| 758 |
+
"step": 125000
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 23.83204085492718,
|
| 762 |
+
"learning_rate": 3.808397957253641e-05,
|
| 763 |
+
"loss": 1.8568125,
|
| 764 |
+
"step": 126000
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 24.02118403631549,
|
| 768 |
+
"learning_rate": 3.798940798184226e-05,
|
| 769 |
+
"loss": 1.855609375,
|
| 770 |
+
"step": 127000
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 24.210327217703803,
|
| 774 |
+
"learning_rate": 3.7894836391148106e-05,
|
| 775 |
+
"loss": 1.7931875,
|
| 776 |
+
"step": 128000
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 24.399470399092113,
|
| 780 |
+
"learning_rate": 3.780026480045394e-05,
|
| 781 |
+
"loss": 1.805828125,
|
| 782 |
+
"step": 129000
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 24.588613580480423,
|
| 786 |
+
"learning_rate": 3.770569320975979e-05,
|
| 787 |
+
"loss": 1.825140625,
|
| 788 |
+
"step": 130000
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 24.777756761868734,
|
| 792 |
+
"learning_rate": 3.761112161906564e-05,
|
| 793 |
+
"loss": 1.83425,
|
| 794 |
+
"step": 131000
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 24.966899943257047,
|
| 798 |
+
"learning_rate": 3.751655002837148e-05,
|
| 799 |
+
"loss": 1.8449375,
|
| 800 |
+
"step": 132000
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 25.156043124645358,
|
| 804 |
+
"learning_rate": 3.742197843767732e-05,
|
| 805 |
+
"loss": 1.78215625,
|
| 806 |
+
"step": 133000
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 25.345186306033668,
|
| 810 |
+
"learning_rate": 3.732740684698317e-05,
|
| 811 |
+
"loss": 1.79159375,
|
| 812 |
+
"step": 134000
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 25.534329487421978,
|
| 816 |
+
"learning_rate": 3.723283525628901e-05,
|
| 817 |
+
"loss": 1.80753125,
|
| 818 |
+
"step": 135000
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 25.723472668810288,
|
| 822 |
+
"learning_rate": 3.713826366559486e-05,
|
| 823 |
+
"loss": 1.81053125,
|
| 824 |
+
"step": 136000
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 25.912615850198602,
|
| 828 |
+
"learning_rate": 3.70436920749007e-05,
|
| 829 |
+
"loss": 1.8265,
|
| 830 |
+
"step": 137000
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 26.101759031586912,
|
| 834 |
+
"learning_rate": 3.694912048420654e-05,
|
| 835 |
+
"loss": 1.79653125,
|
| 836 |
+
"step": 138000
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 26.290902212975222,
|
| 840 |
+
"learning_rate": 3.685454889351239e-05,
|
| 841 |
+
"loss": 1.76934375,
|
| 842 |
+
"step": 139000
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 26.480045394363533,
|
| 846 |
+
"learning_rate": 3.6759977302818233e-05,
|
| 847 |
+
"loss": 1.78228125,
|
| 848 |
+
"step": 140000
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 26.669188575751843,
|
| 852 |
+
"learning_rate": 3.666540571212408e-05,
|
| 853 |
+
"loss": 1.79384375,
|
| 854 |
+
"step": 141000
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 26.858331757140157,
|
| 858 |
+
"learning_rate": 3.6570834121429924e-05,
|
| 859 |
+
"loss": 1.8095625,
|
| 860 |
+
"step": 142000
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 27.047474938528467,
|
| 864 |
+
"learning_rate": 3.6476262530735765e-05,
|
| 865 |
+
"loss": 1.7923125,
|
| 866 |
+
"step": 143000
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 27.236618119916777,
|
| 870 |
+
"learning_rate": 3.6381690940041614e-05,
|
| 871 |
+
"loss": 1.7471875,
|
| 872 |
+
"step": 144000
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 27.425761301305087,
|
| 876 |
+
"learning_rate": 3.628711934934746e-05,
|
| 877 |
+
"loss": 1.76446875,
|
| 878 |
+
"step": 145000
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 27.614904482693397,
|
| 882 |
+
"learning_rate": 3.61925477586533e-05,
|
| 883 |
+
"loss": 1.77759375,
|
| 884 |
+
"step": 146000
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 27.80404766408171,
|
| 888 |
+
"learning_rate": 3.6097976167959146e-05,
|
| 889 |
+
"loss": 1.78840625,
|
| 890 |
+
"step": 147000
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 27.99319084547002,
|
| 894 |
+
"learning_rate": 3.6003404577264994e-05,
|
| 895 |
+
"loss": 1.799125,
|
| 896 |
+
"step": 148000
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 28.18233402685833,
|
| 900 |
+
"learning_rate": 3.5908832986570836e-05,
|
| 901 |
+
"loss": 1.73171875,
|
| 902 |
+
"step": 149000
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 28.37147720824664,
|
| 906 |
+
"learning_rate": 3.581426139587668e-05,
|
| 907 |
+
"loss": 1.73996875,
|
| 908 |
+
"step": 150000
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 28.560620389634952,
|
| 912 |
+
"learning_rate": 3.5719689805182526e-05,
|
| 913 |
+
"loss": 1.75671875,
|
| 914 |
+
"step": 151000
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 28.749763571023266,
|
| 918 |
+
"learning_rate": 3.562511821448837e-05,
|
| 919 |
+
"loss": 1.7723125,
|
| 920 |
+
"step": 152000
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 28.938906752411576,
|
| 924 |
+
"learning_rate": 3.5530546623794216e-05,
|
| 925 |
+
"loss": 1.77990625,
|
| 926 |
+
"step": 153000
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 29.128049933799886,
|
| 930 |
+
"learning_rate": 3.543597503310006e-05,
|
| 931 |
+
"loss": 1.73996875,
|
| 932 |
+
"step": 154000
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 29.317193115188196,
|
| 936 |
+
"learning_rate": 3.53414034424059e-05,
|
| 937 |
+
"loss": 1.726625,
|
| 938 |
+
"step": 155000
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 29.50633629657651,
|
| 942 |
+
"learning_rate": 3.524683185171175e-05,
|
| 943 |
+
"loss": 1.74075,
|
| 944 |
+
"step": 156000
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 29.69547947796482,
|
| 948 |
+
"learning_rate": 3.5152260261017597e-05,
|
| 949 |
+
"loss": 1.753,
|
| 950 |
+
"step": 157000
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 29.88462265935313,
|
| 954 |
+
"learning_rate": 3.505768867032344e-05,
|
| 955 |
+
"loss": 1.7575,
|
| 956 |
+
"step": 158000
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 30.07376584074144,
|
| 960 |
+
"learning_rate": 3.496311707962928e-05,
|
| 961 |
+
"loss": 1.73771875,
|
| 962 |
+
"step": 159000
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 30.26290902212975,
|
| 966 |
+
"learning_rate": 3.486854548893513e-05,
|
| 967 |
+
"loss": 1.70875,
|
| 968 |
+
"step": 160000
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 30.452052203518065,
|
| 972 |
+
"learning_rate": 3.477397389824097e-05,
|
| 973 |
+
"loss": 1.72415625,
|
| 974 |
+
"step": 161000
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 30.641195384906375,
|
| 978 |
+
"learning_rate": 3.467940230754682e-05,
|
| 979 |
+
"loss": 1.7310625,
|
| 980 |
+
"step": 162000
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 30.830338566294685,
|
| 984 |
+
"learning_rate": 3.4584830716852654e-05,
|
| 985 |
+
"loss": 1.74175,
|
| 986 |
+
"step": 163000
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 31.019481747682995,
|
| 990 |
+
"learning_rate": 3.44902591261585e-05,
|
| 991 |
+
"loss": 1.74609375,
|
| 992 |
+
"step": 164000
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 31.208624929071306,
|
| 996 |
+
"learning_rate": 3.439568753546435e-05,
|
| 997 |
+
"loss": 1.684875,
|
| 998 |
+
"step": 165000
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 31.39776811045962,
|
| 1002 |
+
"learning_rate": 3.430111594477019e-05,
|
| 1003 |
+
"loss": 1.69925,
|
| 1004 |
+
"step": 166000
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 31.58691129184793,
|
| 1008 |
+
"learning_rate": 3.4206544354076034e-05,
|
| 1009 |
+
"loss": 1.7169375,
|
| 1010 |
+
"step": 167000
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 31.77605447323624,
|
| 1014 |
+
"learning_rate": 3.411197276338188e-05,
|
| 1015 |
+
"loss": 1.7275,
|
| 1016 |
+
"step": 168000
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 31.96519765462455,
|
| 1020 |
+
"learning_rate": 3.4017401172687724e-05,
|
| 1021 |
+
"loss": 1.74096875,
|
| 1022 |
+
"step": 169000
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 32.154340836012864,
|
| 1026 |
+
"learning_rate": 3.392282958199357e-05,
|
| 1027 |
+
"loss": 1.68128125,
|
| 1028 |
+
"step": 170000
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 32.343484017401174,
|
| 1032 |
+
"learning_rate": 3.3828257991299414e-05,
|
| 1033 |
+
"loss": 1.6851875,
|
| 1034 |
+
"step": 171000
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 32.532627198789484,
|
| 1038 |
+
"learning_rate": 3.3733686400605256e-05,
|
| 1039 |
+
"loss": 1.69896875,
|
| 1040 |
+
"step": 172000
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 32.721770380177794,
|
| 1044 |
+
"learning_rate": 3.3639114809911104e-05,
|
| 1045 |
+
"loss": 1.7080625,
|
| 1046 |
+
"step": 173000
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 32.910913561566105,
|
| 1050 |
+
"learning_rate": 3.354454321921695e-05,
|
| 1051 |
+
"loss": 1.7200625,
|
| 1052 |
+
"step": 174000
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 33.100056742954415,
|
| 1056 |
+
"learning_rate": 3.3449971628522795e-05,
|
| 1057 |
+
"loss": 1.69040625,
|
| 1058 |
+
"step": 175000
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 33.289199924342725,
|
| 1062 |
+
"learning_rate": 3.3355400037828636e-05,
|
| 1063 |
+
"loss": 1.666625,
|
| 1064 |
+
"step": 176000
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 33.478343105731035,
|
| 1068 |
+
"learning_rate": 3.3260828447134485e-05,
|
| 1069 |
+
"loss": 1.6798125,
|
| 1070 |
+
"step": 177000
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 33.66748628711935,
|
| 1074 |
+
"learning_rate": 3.3166256856440326e-05,
|
| 1075 |
+
"loss": 1.69575,
|
| 1076 |
+
"step": 178000
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 33.85662946850766,
|
| 1080 |
+
"learning_rate": 3.3071685265746175e-05,
|
| 1081 |
+
"loss": 1.7008125,
|
| 1082 |
+
"step": 179000
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 34.04577264989597,
|
| 1086 |
+
"learning_rate": 3.297711367505202e-05,
|
| 1087 |
+
"loss": 1.69340625,
|
| 1088 |
+
"step": 180000
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 34.23491583128428,
|
| 1092 |
+
"learning_rate": 3.288254208435786e-05,
|
| 1093 |
+
"loss": 1.6509375,
|
| 1094 |
+
"step": 181000
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 34.42405901267259,
|
| 1098 |
+
"learning_rate": 3.278797049366371e-05,
|
| 1099 |
+
"loss": 1.66703125,
|
| 1100 |
+
"step": 182000
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 34.613202194060904,
|
| 1104 |
+
"learning_rate": 3.2693398902969555e-05,
|
| 1105 |
+
"loss": 1.67615625,
|
| 1106 |
+
"step": 183000
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 34.802345375449214,
|
| 1110 |
+
"learning_rate": 3.259882731227539e-05,
|
| 1111 |
+
"loss": 1.6876875,
|
| 1112 |
+
"step": 184000
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 34.991488556837524,
|
| 1116 |
+
"learning_rate": 3.250425572158124e-05,
|
| 1117 |
+
"loss": 1.695,
|
| 1118 |
+
"step": 185000
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 35.180631738225834,
|
| 1122 |
+
"learning_rate": 3.240968413088709e-05,
|
| 1123 |
+
"loss": 1.6354375,
|
| 1124 |
+
"step": 186000
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 35.369774919614144,
|
| 1128 |
+
"learning_rate": 3.231511254019293e-05,
|
| 1129 |
+
"loss": 1.64653125,
|
| 1130 |
+
"step": 187000
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 35.55891810100246,
|
| 1134 |
+
"learning_rate": 3.222054094949877e-05,
|
| 1135 |
+
"loss": 1.66346875,
|
| 1136 |
+
"step": 188000
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 35.74806128239077,
|
| 1140 |
+
"learning_rate": 3.212596935880461e-05,
|
| 1141 |
+
"loss": 1.66990625,
|
| 1142 |
+
"step": 189000
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 35.93720446377908,
|
| 1146 |
+
"learning_rate": 3.203139776811046e-05,
|
| 1147 |
+
"loss": 1.67878125,
|
| 1148 |
+
"step": 190000
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 36.12634764516739,
|
| 1152 |
+
"learning_rate": 3.193682617741631e-05,
|
| 1153 |
+
"loss": 1.63953125,
|
| 1154 |
+
"step": 191000
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 36.3154908265557,
|
| 1158 |
+
"learning_rate": 3.184225458672215e-05,
|
| 1159 |
+
"loss": 1.62646875,
|
| 1160 |
+
"step": 192000
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 36.50463400794401,
|
| 1164 |
+
"learning_rate": 3.174768299602799e-05,
|
| 1165 |
+
"loss": 1.6480625,
|
| 1166 |
+
"step": 193000
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 36.69377718933232,
|
| 1170 |
+
"learning_rate": 3.165311140533384e-05,
|
| 1171 |
+
"loss": 1.65371875,
|
| 1172 |
+
"step": 194000
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 36.88292037072063,
|
| 1176 |
+
"learning_rate": 3.155853981463968e-05,
|
| 1177 |
+
"loss": 1.66778125,
|
| 1178 |
+
"step": 195000
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 37.07206355210894,
|
| 1182 |
+
"learning_rate": 3.146396822394553e-05,
|
| 1183 |
+
"loss": 1.64275,
|
| 1184 |
+
"step": 196000
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 37.26120673349726,
|
| 1188 |
+
"learning_rate": 3.136939663325137e-05,
|
| 1189 |
+
"loss": 1.61565625,
|
| 1190 |
+
"step": 197000
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 37.45034991488557,
|
| 1194 |
+
"learning_rate": 3.1274825042557215e-05,
|
| 1195 |
+
"loss": 1.631875,
|
| 1196 |
+
"step": 198000
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 37.63949309627388,
|
| 1200 |
+
"learning_rate": 3.118025345186306e-05,
|
| 1201 |
+
"loss": 1.64078125,
|
| 1202 |
+
"step": 199000
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 37.82863627766219,
|
| 1206 |
+
"learning_rate": 3.108568186116891e-05,
|
| 1207 |
+
"loss": 1.6473125,
|
| 1208 |
+
"step": 200000
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 38.0177794590505,
|
| 1212 |
+
"learning_rate": 3.0991110270474747e-05,
|
| 1213 |
+
"loss": 1.65090625,
|
| 1214 |
+
"step": 201000
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 38.20692264043881,
|
| 1218 |
+
"learning_rate": 3.0896538679780595e-05,
|
| 1219 |
+
"loss": 1.59846875,
|
| 1220 |
+
"step": 202000
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 38.39606582182712,
|
| 1224 |
+
"learning_rate": 3.0801967089086443e-05,
|
| 1225 |
+
"loss": 1.6114375,
|
| 1226 |
+
"step": 203000
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 38.58520900321543,
|
| 1230 |
+
"learning_rate": 3.0707395498392285e-05,
|
| 1231 |
+
"loss": 1.6266875,
|
| 1232 |
+
"step": 204000
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 38.77435218460374,
|
| 1236 |
+
"learning_rate": 3.061282390769813e-05,
|
| 1237 |
+
"loss": 1.6340625,
|
| 1238 |
+
"step": 205000
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 38.96349536599205,
|
| 1242 |
+
"learning_rate": 3.0518252317003975e-05,
|
| 1243 |
+
"loss": 1.64478125,
|
| 1244 |
+
"step": 206000
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 39.15263854738037,
|
| 1248 |
+
"learning_rate": 3.0423680726309817e-05,
|
| 1249 |
+
"loss": 1.59403125,
|
| 1250 |
+
"step": 207000
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 39.34178172876868,
|
| 1254 |
+
"learning_rate": 3.0329109135615662e-05,
|
| 1255 |
+
"loss": 1.5961875,
|
| 1256 |
+
"step": 208000
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 39.53092491015699,
|
| 1260 |
+
"learning_rate": 3.023453754492151e-05,
|
| 1261 |
+
"loss": 1.612375,
|
| 1262 |
+
"step": 209000
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 39.7200680915453,
|
| 1266 |
+
"learning_rate": 3.013996595422735e-05,
|
| 1267 |
+
"loss": 1.62103125,
|
| 1268 |
+
"step": 210000
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 39.90921127293361,
|
| 1272 |
+
"learning_rate": 3.0045394363533197e-05,
|
| 1273 |
+
"loss": 1.62684375,
|
| 1274 |
+
"step": 211000
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 40.09835445432192,
|
| 1278 |
+
"learning_rate": 2.995082277283904e-05,
|
| 1279 |
+
"loss": 1.60059375,
|
| 1280 |
+
"step": 212000
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 40.28749763571023,
|
| 1284 |
+
"learning_rate": 2.9856251182144884e-05,
|
| 1285 |
+
"loss": 1.58271875,
|
| 1286 |
+
"step": 213000
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 40.47664081709854,
|
| 1290 |
+
"learning_rate": 2.976167959145073e-05,
|
| 1291 |
+
"loss": 1.59703125,
|
| 1292 |
+
"step": 214000
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 40.66578399848685,
|
| 1296 |
+
"learning_rate": 2.966710800075657e-05,
|
| 1297 |
+
"loss": 1.604875,
|
| 1298 |
+
"step": 215000
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 40.85492717987517,
|
| 1302 |
+
"learning_rate": 2.957253641006242e-05,
|
| 1303 |
+
"loss": 1.6115625,
|
| 1304 |
+
"step": 216000
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 41.04407036126348,
|
| 1308 |
+
"learning_rate": 2.9477964819368265e-05,
|
| 1309 |
+
"loss": 1.60434375,
|
| 1310 |
+
"step": 217000
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 41.23321354265179,
|
| 1314 |
+
"learning_rate": 2.9383393228674106e-05,
|
| 1315 |
+
"loss": 1.566625,
|
| 1316 |
+
"step": 218000
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 41.4223567240401,
|
| 1320 |
+
"learning_rate": 2.928882163797995e-05,
|
| 1321 |
+
"loss": 1.58084375,
|
| 1322 |
+
"step": 219000
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 41.61149990542841,
|
| 1326 |
+
"learning_rate": 2.91942500472858e-05,
|
| 1327 |
+
"loss": 1.590625,
|
| 1328 |
+
"step": 220000
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 41.80064308681672,
|
| 1332 |
+
"learning_rate": 2.9099678456591638e-05,
|
| 1333 |
+
"loss": 1.60096875,
|
| 1334 |
+
"step": 221000
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 41.98978626820503,
|
| 1338 |
+
"learning_rate": 2.9005106865897487e-05,
|
| 1339 |
+
"loss": 1.6100625,
|
| 1340 |
+
"step": 222000
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 42.17892944959334,
|
| 1344 |
+
"learning_rate": 2.8910535275203332e-05,
|
| 1345 |
+
"loss": 1.552625,
|
| 1346 |
+
"step": 223000
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 42.36807263098165,
|
| 1350 |
+
"learning_rate": 2.8815963684509173e-05,
|
| 1351 |
+
"loss": 1.56346875,
|
| 1352 |
+
"step": 224000
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 42.55721581236996,
|
| 1356 |
+
"learning_rate": 2.872139209381502e-05,
|
| 1357 |
+
"loss": 1.57903125,
|
| 1358 |
+
"step": 225000
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 42.74635899375828,
|
| 1362 |
+
"learning_rate": 2.8626820503120867e-05,
|
| 1363 |
+
"loss": 1.5851875,
|
| 1364 |
+
"step": 226000
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 42.93550217514659,
|
| 1368 |
+
"learning_rate": 2.8532248912426705e-05,
|
| 1369 |
+
"loss": 1.59359375,
|
| 1370 |
+
"step": 227000
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 43.1246453565349,
|
| 1374 |
+
"learning_rate": 2.8437677321732554e-05,
|
| 1375 |
+
"loss": 1.55915625,
|
| 1376 |
+
"step": 228000
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 43.31378853792321,
|
| 1380 |
+
"learning_rate": 2.83431057310384e-05,
|
| 1381 |
+
"loss": 1.5494375,
|
| 1382 |
+
"step": 229000
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 43.50293171931152,
|
| 1386 |
+
"learning_rate": 2.824853414034424e-05,
|
| 1387 |
+
"loss": 1.55978125,
|
| 1388 |
+
"step": 230000
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 43.69207490069983,
|
| 1392 |
+
"learning_rate": 2.8153962549650086e-05,
|
| 1393 |
+
"loss": 1.57346875,
|
| 1394 |
+
"step": 231000
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 43.88121808208814,
|
| 1398 |
+
"learning_rate": 2.8059390958955934e-05,
|
| 1399 |
+
"loss": 1.58403125,
|
| 1400 |
+
"step": 232000
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 44.07036126347645,
|
| 1404 |
+
"learning_rate": 2.7964819368261776e-05,
|
| 1405 |
+
"loss": 1.568125,
|
| 1406 |
+
"step": 233000
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 44.25950444486476,
|
| 1410 |
+
"learning_rate": 2.787024777756762e-05,
|
| 1411 |
+
"loss": 1.535125,
|
| 1412 |
+
"step": 234000
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 44.44864762625307,
|
| 1416 |
+
"learning_rate": 2.7775676186873466e-05,
|
| 1417 |
+
"loss": 1.5455,
|
| 1418 |
+
"step": 235000
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 44.63779080764139,
|
| 1422 |
+
"learning_rate": 2.7681104596179308e-05,
|
| 1423 |
+
"loss": 1.55828125,
|
| 1424 |
+
"step": 236000
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 44.8269339890297,
|
| 1428 |
+
"learning_rate": 2.7586533005485156e-05,
|
| 1429 |
+
"loss": 1.56821875,
|
| 1430 |
+
"step": 237000
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 45.01607717041801,
|
| 1434 |
+
"learning_rate": 2.7491961414790994e-05,
|
| 1435 |
+
"loss": 1.573875,
|
| 1436 |
+
"step": 238000
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 45.20522035180632,
|
| 1440 |
+
"learning_rate": 2.7397389824096843e-05,
|
| 1441 |
+
"loss": 1.52146875,
|
| 1442 |
+
"step": 239000
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 45.39436353319463,
|
| 1446 |
+
"learning_rate": 2.7302818233402688e-05,
|
| 1447 |
+
"loss": 1.53628125,
|
| 1448 |
+
"step": 240000
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 45.58350671458294,
|
| 1452 |
+
"learning_rate": 2.720824664270853e-05,
|
| 1453 |
+
"loss": 1.549875,
|
| 1454 |
+
"step": 241000
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 45.77264989597125,
|
| 1458 |
+
"learning_rate": 2.7113675052014375e-05,
|
| 1459 |
+
"loss": 1.55240625,
|
| 1460 |
+
"step": 242000
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"epoch": 45.96179307735956,
|
| 1464 |
+
"learning_rate": 2.7019103461320223e-05,
|
| 1465 |
+
"loss": 1.56171875,
|
| 1466 |
+
"step": 243000
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 46.15093625874787,
|
| 1470 |
+
"learning_rate": 2.692453187062606e-05,
|
| 1471 |
+
"loss": 1.52228125,
|
| 1472 |
+
"step": 244000
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 46.340079440136186,
|
| 1476 |
+
"learning_rate": 2.682996027993191e-05,
|
| 1477 |
+
"loss": 1.5250625,
|
| 1478 |
+
"step": 245000
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 46.5292226215245,
|
| 1482 |
+
"learning_rate": 2.6735388689237755e-05,
|
| 1483 |
+
"loss": 1.5320625,
|
| 1484 |
+
"step": 246000
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 46.71836580291281,
|
| 1488 |
+
"learning_rate": 2.6640817098543597e-05,
|
| 1489 |
+
"loss": 1.5440625,
|
| 1490 |
+
"step": 247000
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 46.90750898430112,
|
| 1494 |
+
"learning_rate": 2.6546245507849442e-05,
|
| 1495 |
+
"loss": 1.5495,
|
| 1496 |
+
"step": 248000
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 47.09665216568943,
|
| 1500 |
+
"learning_rate": 2.645167391715529e-05,
|
| 1501 |
+
"loss": 1.5265625,
|
| 1502 |
+
"step": 249000
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 47.28579534707774,
|
| 1506 |
+
"learning_rate": 2.6357102326461132e-05,
|
| 1507 |
+
"loss": 1.50359375,
|
| 1508 |
+
"step": 250000
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 47.47493852846605,
|
| 1512 |
+
"learning_rate": 2.6262530735766977e-05,
|
| 1513 |
+
"loss": 1.5239375,
|
| 1514 |
+
"step": 251000
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 47.66408170985436,
|
| 1518 |
+
"learning_rate": 2.6167959145072822e-05,
|
| 1519 |
+
"loss": 1.5295625,
|
| 1520 |
+
"step": 252000
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 47.85322489124267,
|
| 1524 |
+
"learning_rate": 2.6073387554378664e-05,
|
| 1525 |
+
"loss": 1.53828125,
|
| 1526 |
+
"step": 253000
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 48.04236807263098,
|
| 1530 |
+
"learning_rate": 2.597881596368451e-05,
|
| 1531 |
+
"loss": 1.53,
|
| 1532 |
+
"step": 254000
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 48.231511254019296,
|
| 1536 |
+
"learning_rate": 2.5884244372990358e-05,
|
| 1537 |
+
"loss": 1.496,
|
| 1538 |
+
"step": 255000
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 48.420654435407606,
|
| 1542 |
+
"learning_rate": 2.57896727822962e-05,
|
| 1543 |
+
"loss": 1.503375,
|
| 1544 |
+
"step": 256000
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 48.609797616795916,
|
| 1548 |
+
"learning_rate": 2.5695101191602044e-05,
|
| 1549 |
+
"loss": 1.521125,
|
| 1550 |
+
"step": 257000
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 48.798940798184226,
|
| 1554 |
+
"learning_rate": 2.560052960090789e-05,
|
| 1555 |
+
"loss": 1.5279375,
|
| 1556 |
+
"step": 258000
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 48.98808397957254,
|
| 1560 |
+
"learning_rate": 2.550595801021373e-05,
|
| 1561 |
+
"loss": 1.5339375,
|
| 1562 |
+
"step": 259000
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 49.17722716096085,
|
| 1566 |
+
"learning_rate": 2.541138641951958e-05,
|
| 1567 |
+
"loss": 1.4859375,
|
| 1568 |
+
"step": 260000
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 49.36637034234916,
|
| 1572 |
+
"learning_rate": 2.5316814828825425e-05,
|
| 1573 |
+
"loss": 1.4956875,
|
| 1574 |
+
"step": 261000
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 49.55551352373747,
|
| 1578 |
+
"learning_rate": 2.5222243238131266e-05,
|
| 1579 |
+
"loss": 1.50375,
|
| 1580 |
+
"step": 262000
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 49.74465670512578,
|
| 1584 |
+
"learning_rate": 2.512767164743711e-05,
|
| 1585 |
+
"loss": 1.51525,
|
| 1586 |
+
"step": 263000
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 49.933799886514095,
|
| 1590 |
+
"learning_rate": 2.5033100056742953e-05,
|
| 1591 |
+
"loss": 1.52084375,
|
| 1592 |
+
"step": 264000
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 50.122943067902405,
|
| 1596 |
+
"learning_rate": 2.4938528466048798e-05,
|
| 1597 |
+
"loss": 1.49025,
|
| 1598 |
+
"step": 265000
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 50.312086249290715,
|
| 1602 |
+
"learning_rate": 2.4843956875354647e-05,
|
| 1603 |
+
"loss": 1.48290625,
|
| 1604 |
+
"step": 266000
|
| 1605 |
+
},
|
| 1606 |
+
{
|
| 1607 |
+
"epoch": 50.501229430679025,
|
| 1608 |
+
"learning_rate": 2.474938528466049e-05,
|
| 1609 |
+
"loss": 1.49121875,
|
| 1610 |
+
"step": 267000
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 50.690372612067335,
|
| 1614 |
+
"learning_rate": 2.4654813693966334e-05,
|
| 1615 |
+
"loss": 1.502875,
|
| 1616 |
+
"step": 268000
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 50.879515793455646,
|
| 1620 |
+
"learning_rate": 2.4560242103272175e-05,
|
| 1621 |
+
"loss": 1.51284375,
|
| 1622 |
+
"step": 269000
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 51.068658974843956,
|
| 1626 |
+
"learning_rate": 2.4465670512578024e-05,
|
| 1627 |
+
"loss": 1.4948125,
|
| 1628 |
+
"step": 270000
|
| 1629 |
+
},
|
| 1630 |
+
{
|
| 1631 |
+
"epoch": 51.257802156232266,
|
| 1632 |
+
"learning_rate": 2.4371098921883865e-05,
|
| 1633 |
+
"loss": 1.4699375,
|
| 1634 |
+
"step": 271000
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 51.446945337620576,
|
| 1638 |
+
"learning_rate": 2.427652733118971e-05,
|
| 1639 |
+
"loss": 1.48165625,
|
| 1640 |
+
"step": 272000
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 51.63608851900889,
|
| 1644 |
+
"learning_rate": 2.4181955740495556e-05,
|
| 1645 |
+
"loss": 1.491875,
|
| 1646 |
+
"step": 273000
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 51.825231700397204,
|
| 1650 |
+
"learning_rate": 2.40873841498014e-05,
|
| 1651 |
+
"loss": 1.498875,
|
| 1652 |
+
"step": 274000
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 52.014374881785514,
|
| 1656 |
+
"learning_rate": 2.3992812559107246e-05,
|
| 1657 |
+
"loss": 1.50025,
|
| 1658 |
+
"step": 275000
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 52.203518063173824,
|
| 1662 |
+
"learning_rate": 2.389824096841309e-05,
|
| 1663 |
+
"loss": 1.45865625,
|
| 1664 |
+
"step": 276000
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 52.392661244562134,
|
| 1668 |
+
"learning_rate": 2.3803669377718936e-05,
|
| 1669 |
+
"loss": 1.4689375,
|
| 1670 |
+
"step": 277000
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 52.581804425950445,
|
| 1674 |
+
"learning_rate": 2.3709097787024778e-05,
|
| 1675 |
+
"loss": 1.4756875,
|
| 1676 |
+
"step": 278000
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 52.770947607338755,
|
| 1680 |
+
"learning_rate": 2.3614526196330626e-05,
|
| 1681 |
+
"loss": 1.48815625,
|
| 1682 |
+
"step": 279000
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 52.960090788727065,
|
| 1686 |
+
"learning_rate": 2.3519954605636468e-05,
|
| 1687 |
+
"loss": 1.4954375,
|
| 1688 |
+
"step": 280000
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 53.149233970115375,
|
| 1692 |
+
"learning_rate": 2.3425383014942313e-05,
|
| 1693 |
+
"loss": 1.4575625,
|
| 1694 |
+
"step": 281000
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 53.338377151503686,
|
| 1698 |
+
"learning_rate": 2.3330811424248155e-05,
|
| 1699 |
+
"loss": 1.4586875,
|
| 1700 |
+
"step": 282000
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 53.527520332891996,
|
| 1704 |
+
"learning_rate": 2.3236239833554003e-05,
|
| 1705 |
+
"loss": 1.46946875,
|
| 1706 |
+
"step": 283000
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 53.71666351428031,
|
| 1710 |
+
"learning_rate": 2.3141668242859845e-05,
|
| 1711 |
+
"loss": 1.47496875,
|
| 1712 |
+
"step": 284000
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"epoch": 53.90580669566862,
|
| 1716 |
+
"learning_rate": 2.304709665216569e-05,
|
| 1717 |
+
"loss": 1.48246875,
|
| 1718 |
+
"step": 285000
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 54.09494987705693,
|
| 1722 |
+
"learning_rate": 2.2952525061471535e-05,
|
| 1723 |
+
"loss": 1.458375,
|
| 1724 |
+
"step": 286000
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 54.284093058445244,
|
| 1728 |
+
"learning_rate": 2.285795347077738e-05,
|
| 1729 |
+
"loss": 1.44609375,
|
| 1730 |
+
"step": 287000
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"epoch": 54.473236239833554,
|
| 1734 |
+
"learning_rate": 2.2763381880083222e-05,
|
| 1735 |
+
"loss": 1.45584375,
|
| 1736 |
+
"step": 288000
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 54.662379421221864,
|
| 1740 |
+
"learning_rate": 2.266881028938907e-05,
|
| 1741 |
+
"loss": 1.46325,
|
| 1742 |
+
"step": 289000
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 54.851522602610174,
|
| 1746 |
+
"learning_rate": 2.2574238698694912e-05,
|
| 1747 |
+
"loss": 1.475625,
|
| 1748 |
+
"step": 290000
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 55.040665783998485,
|
| 1752 |
+
"learning_rate": 2.2479667108000757e-05,
|
| 1753 |
+
"loss": 1.46834375,
|
| 1754 |
+
"step": 291000
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 55.229808965386795,
|
| 1758 |
+
"learning_rate": 2.2385095517306602e-05,
|
| 1759 |
+
"loss": 1.43265625,
|
| 1760 |
+
"step": 292000
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 55.41895214677511,
|
| 1764 |
+
"learning_rate": 2.2290523926612447e-05,
|
| 1765 |
+
"loss": 1.4436875,
|
| 1766 |
+
"step": 293000
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 55.60809532816342,
|
| 1770 |
+
"learning_rate": 2.2195952335918292e-05,
|
| 1771 |
+
"loss": 1.455,
|
| 1772 |
+
"step": 294000
|
| 1773 |
+
},
|
| 1774 |
+
{
|
| 1775 |
+
"epoch": 55.79723850955173,
|
| 1776 |
+
"learning_rate": 2.2101380745224134e-05,
|
| 1777 |
+
"loss": 1.46475,
|
| 1778 |
+
"step": 295000
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 55.98638169094004,
|
| 1782 |
+
"learning_rate": 2.2006809154529982e-05,
|
| 1783 |
+
"loss": 1.46825,
|
| 1784 |
+
"step": 296000
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 56.17552487232835,
|
| 1788 |
+
"learning_rate": 2.1912237563835824e-05,
|
| 1789 |
+
"loss": 1.4260625,
|
| 1790 |
+
"step": 297000
|
| 1791 |
+
},
|
| 1792 |
+
{
|
| 1793 |
+
"epoch": 56.36466805371666,
|
| 1794 |
+
"learning_rate": 2.181766597314167e-05,
|
| 1795 |
+
"loss": 1.43375,
|
| 1796 |
+
"step": 298000
|
| 1797 |
+
},
|
| 1798 |
+
{
|
| 1799 |
+
"epoch": 56.55381123510497,
|
| 1800 |
+
"learning_rate": 2.1723094382447514e-05,
|
| 1801 |
+
"loss": 1.444375,
|
| 1802 |
+
"step": 299000
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 56.74295441649328,
|
| 1806 |
+
"learning_rate": 2.162852279175336e-05,
|
| 1807 |
+
"loss": 1.4503125,
|
| 1808 |
+
"step": 300000
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 56.932097597881594,
|
| 1812 |
+
"learning_rate": 2.15339512010592e-05,
|
| 1813 |
+
"loss": 1.4611875,
|
| 1814 |
+
"step": 301000
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 57.121240779269904,
|
| 1818 |
+
"learning_rate": 2.143937961036505e-05,
|
| 1819 |
+
"loss": 1.4291875,
|
| 1820 |
+
"step": 302000
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 57.31038396065822,
|
| 1824 |
+
"learning_rate": 2.134480801967089e-05,
|
| 1825 |
+
"loss": 1.422,
|
| 1826 |
+
"step": 303000
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 57.49952714204653,
|
| 1830 |
+
"learning_rate": 2.1250236428976736e-05,
|
| 1831 |
+
"loss": 1.434625,
|
| 1832 |
+
"step": 304000
|
| 1833 |
+
},
|
| 1834 |
+
{
|
| 1835 |
+
"epoch": 57.68867032343484,
|
| 1836 |
+
"learning_rate": 2.115566483828258e-05,
|
| 1837 |
+
"loss": 1.437625,
|
| 1838 |
+
"step": 305000
|
| 1839 |
+
},
|
| 1840 |
+
{
|
| 1841 |
+
"epoch": 57.87781350482315,
|
| 1842 |
+
"learning_rate": 2.1061093247588427e-05,
|
| 1843 |
+
"loss": 1.4495625,
|
| 1844 |
+
"step": 306000
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 58.06695668621146,
|
| 1848 |
+
"learning_rate": 2.0966521656894268e-05,
|
| 1849 |
+
"loss": 1.440125,
|
| 1850 |
+
"step": 307000
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 58.25609986759977,
|
| 1854 |
+
"learning_rate": 2.0871950066200113e-05,
|
| 1855 |
+
"loss": 1.413375,
|
| 1856 |
+
"step": 308000
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 58.44524304898808,
|
| 1860 |
+
"learning_rate": 2.077737847550596e-05,
|
| 1861 |
+
"loss": 1.4220625,
|
| 1862 |
+
"step": 309000
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 58.63438623037639,
|
| 1866 |
+
"learning_rate": 2.0682806884811804e-05,
|
| 1867 |
+
"loss": 1.4315,
|
| 1868 |
+
"step": 310000
|
| 1869 |
+
},
|
| 1870 |
+
{
|
| 1871 |
+
"epoch": 58.8235294117647,
|
| 1872 |
+
"learning_rate": 2.058823529411765e-05,
|
| 1873 |
+
"loss": 1.4355625,
|
| 1874 |
+
"step": 311000
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 59.01267259315302,
|
| 1878 |
+
"learning_rate": 2.0493663703423494e-05,
|
| 1879 |
+
"loss": 1.440125,
|
| 1880 |
+
"step": 312000
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 59.20181577454133,
|
| 1884 |
+
"learning_rate": 2.039909211272934e-05,
|
| 1885 |
+
"loss": 1.4,
|
| 1886 |
+
"step": 313000
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 59.39095895592964,
|
| 1890 |
+
"learning_rate": 2.030452052203518e-05,
|
| 1891 |
+
"loss": 1.4098125,
|
| 1892 |
+
"step": 314000
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 59.58010213731795,
|
| 1896 |
+
"learning_rate": 2.0209948931341026e-05,
|
| 1897 |
+
"loss": 1.4241875,
|
| 1898 |
+
"step": 315000
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 59.76924531870626,
|
| 1902 |
+
"learning_rate": 2.011537734064687e-05,
|
| 1903 |
+
"loss": 1.43,
|
| 1904 |
+
"step": 316000
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 59.95838850009457,
|
| 1908 |
+
"learning_rate": 2.0020805749952716e-05,
|
| 1909 |
+
"loss": 1.43575,
|
| 1910 |
+
"step": 317000
|
| 1911 |
+
},
|
| 1912 |
+
{
|
| 1913 |
+
"epoch": 60.14753168148288,
|
| 1914 |
+
"learning_rate": 1.9926234159258557e-05,
|
| 1915 |
+
"loss": 1.402625,
|
| 1916 |
+
"step": 318000
|
| 1917 |
+
},
|
| 1918 |
+
{
|
| 1919 |
+
"epoch": 60.33667486287119,
|
| 1920 |
+
"learning_rate": 1.9831662568564406e-05,
|
| 1921 |
+
"loss": 1.4025,
|
| 1922 |
+
"step": 319000
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"epoch": 60.5258180442595,
|
| 1926 |
+
"learning_rate": 1.9737090977870248e-05,
|
| 1927 |
+
"loss": 1.413,
|
| 1928 |
+
"step": 320000
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 60.71496122564781,
|
| 1932 |
+
"learning_rate": 1.9642519387176093e-05,
|
| 1933 |
+
"loss": 1.4200625,
|
| 1934 |
+
"step": 321000
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 60.90410440703613,
|
| 1938 |
+
"learning_rate": 1.9547947796481938e-05,
|
| 1939 |
+
"loss": 1.4270625,
|
| 1940 |
+
"step": 322000
|
| 1941 |
+
},
|
| 1942 |
+
{
|
| 1943 |
+
"epoch": 61.09324758842444,
|
| 1944 |
+
"learning_rate": 1.9453376205787783e-05,
|
| 1945 |
+
"loss": 1.4055625,
|
| 1946 |
+
"step": 323000
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 61.28239076981275,
|
| 1950 |
+
"learning_rate": 1.9358804615093625e-05,
|
| 1951 |
+
"loss": 1.3949375,
|
| 1952 |
+
"step": 324000
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"epoch": 61.47153395120106,
|
| 1956 |
+
"learning_rate": 1.9264233024399473e-05,
|
| 1957 |
+
"loss": 1.4008125,
|
| 1958 |
+
"step": 325000
|
| 1959 |
+
},
|
| 1960 |
+
{
|
| 1961 |
+
"epoch": 61.66067713258937,
|
| 1962 |
+
"learning_rate": 1.9169661433705315e-05,
|
| 1963 |
+
"loss": 1.4103125,
|
| 1964 |
+
"step": 326000
|
| 1965 |
+
},
|
| 1966 |
+
{
|
| 1967 |
+
"epoch": 61.84982031397768,
|
| 1968 |
+
"learning_rate": 1.907508984301116e-05,
|
| 1969 |
+
"loss": 1.41725,
|
| 1970 |
+
"step": 327000
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 62.03896349536599,
|
| 1974 |
+
"learning_rate": 1.8980518252317005e-05,
|
| 1975 |
+
"loss": 1.4091875,
|
| 1976 |
+
"step": 328000
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 62.2281066767543,
|
| 1980 |
+
"learning_rate": 1.888594666162285e-05,
|
| 1981 |
+
"loss": 1.382125,
|
| 1982 |
+
"step": 329000
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"epoch": 62.41724985814261,
|
| 1986 |
+
"learning_rate": 1.8791375070928692e-05,
|
| 1987 |
+
"loss": 1.39175,
|
| 1988 |
+
"step": 330000
|
| 1989 |
+
},
|
| 1990 |
+
{
|
| 1991 |
+
"epoch": 62.60639303953093,
|
| 1992 |
+
"learning_rate": 1.8696803480234537e-05,
|
| 1993 |
+
"loss": 1.3970625,
|
| 1994 |
+
"step": 331000
|
| 1995 |
+
},
|
| 1996 |
+
{
|
| 1997 |
+
"epoch": 62.79553622091924,
|
| 1998 |
+
"learning_rate": 1.8602231889540382e-05,
|
| 1999 |
+
"loss": 1.409375,
|
| 2000 |
+
"step": 332000
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 62.98467940230755,
|
| 2004 |
+
"learning_rate": 1.8507660298846227e-05,
|
| 2005 |
+
"loss": 1.4141875,
|
| 2006 |
+
"step": 333000
|
| 2007 |
+
},
|
| 2008 |
+
{
|
| 2009 |
+
"epoch": 63.17382258369586,
|
| 2010 |
+
"learning_rate": 1.8413088708152072e-05,
|
| 2011 |
+
"loss": 1.371875,
|
| 2012 |
+
"step": 334000
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 63.36296576508417,
|
| 2016 |
+
"learning_rate": 1.8318517117457917e-05,
|
| 2017 |
+
"loss": 1.382125,
|
| 2018 |
+
"step": 335000
|
| 2019 |
+
}
|
| 2020 |
+
],
|
| 2021 |
+
"max_steps": 528700,
|
| 2022 |
+
"num_train_epochs": 100,
|
| 2023 |
+
"total_flos": 512235918148829184,
|
| 2024 |
+
"trial_name": null,
|
| 2025 |
+
"trial_params": null
|
| 2026 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:09c846693b7bcfdc192dbdc4274628996b880cacf845de80497f19136f83c34a
|
| 3 |
+
size 1775
|