Model save
Browse files
README.md
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- trl
|
| 6 |
+
- sft
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
base_model: mistralai/Mistral-7B-v0.1
|
| 9 |
+
model-index:
|
| 10 |
+
- name: mistral-10p
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# mistral-10p
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: nan
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 0.0002
|
| 41 |
+
- train_batch_size: 8
|
| 42 |
+
- eval_batch_size: 1
|
| 43 |
+
- seed: 42
|
| 44 |
+
- distributed_type: multi-GPU
|
| 45 |
+
- num_devices: 4
|
| 46 |
+
- gradient_accumulation_steps: 2
|
| 47 |
+
- total_train_batch_size: 64
|
| 48 |
+
- total_eval_batch_size: 4
|
| 49 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 50 |
+
- lr_scheduler_type: cosine
|
| 51 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 52 |
+
- num_epochs: 1
|
| 53 |
+
|
| 54 |
+
### Training results
|
| 55 |
+
|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 57 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 58 |
+
| 0.7474 | 1.0 | 974 | nan |
|
| 59 |
+
|
| 60 |
+
|
| 61 |
+
### Framework versions
|
| 62 |
+
|
| 63 |
+
- PEFT 0.7.1
|
| 64 |
+
- Transformers 4.39.0.dev0
|
| 65 |
+
- Pytorch 2.2.2+cu121
|
| 66 |
+
- Datasets 2.14.6
|
| 67 |
+
- Tokenizers 0.15.2
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 31516744
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1b2d15dd5767dceb1482295cf90372e3bc88d50ad131dd1d73f76224dc533151
|
| 3 |
size 31516744
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"train_loss": 0.7250666028420294,
|
| 4 |
+
"train_runtime": 36380.3803,
|
| 5 |
+
"train_samples": 62359,
|
| 6 |
+
"train_samples_per_second": 1.714,
|
| 7 |
+
"train_steps_per_second": 0.027
|
| 8 |
+
}
|
runs/May08_17-52-19_ip-172-31-69-60.ec2.internal/events.out.tfevents.1715190917.ip-172-31-69-60.ec2.internal.43459.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ba40910fcc9d1fa24e24b95c8bffac8a53cea504ad4119425e0eaaf3a0137d24
|
| 3 |
+
size 46324
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"train_loss": 0.7250666028420294,
|
| 4 |
+
"train_runtime": 36380.3803,
|
| 5 |
+
"train_samples": 62359,
|
| 6 |
+
"train_samples_per_second": 1.714,
|
| 7 |
+
"train_steps_per_second": 0.027
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1403 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9994869163673679,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 974,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"grad_norm": 0.28735690720469315,
|
| 14 |
+
"learning_rate": 2.040816326530612e-06,
|
| 15 |
+
"loss": 0.8613,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.01,
|
| 20 |
+
"grad_norm": 0.3167433972327598,
|
| 21 |
+
"learning_rate": 1.0204081632653061e-05,
|
| 22 |
+
"loss": 0.7893,
|
| 23 |
+
"step": 5
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.01,
|
| 27 |
+
"grad_norm": 0.2897093230208272,
|
| 28 |
+
"learning_rate": 2.0408163265306123e-05,
|
| 29 |
+
"loss": 0.8123,
|
| 30 |
+
"step": 10
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.02,
|
| 34 |
+
"grad_norm": 0.32529746878796306,
|
| 35 |
+
"learning_rate": 3.061224489795919e-05,
|
| 36 |
+
"loss": 0.8337,
|
| 37 |
+
"step": 15
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.02,
|
| 41 |
+
"grad_norm": 0.41596863358989566,
|
| 42 |
+
"learning_rate": 4.0816326530612245e-05,
|
| 43 |
+
"loss": 0.7853,
|
| 44 |
+
"step": 20
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.03,
|
| 48 |
+
"grad_norm": 0.24343841042790573,
|
| 49 |
+
"learning_rate": 5.102040816326531e-05,
|
| 50 |
+
"loss": 0.7278,
|
| 51 |
+
"step": 25
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.03,
|
| 55 |
+
"grad_norm": 0.23881432693463991,
|
| 56 |
+
"learning_rate": 6.122448979591838e-05,
|
| 57 |
+
"loss": 0.7748,
|
| 58 |
+
"step": 30
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.04,
|
| 62 |
+
"grad_norm": 0.26488823170135234,
|
| 63 |
+
"learning_rate": 7.142857142857143e-05,
|
| 64 |
+
"loss": 0.7369,
|
| 65 |
+
"step": 35
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.04,
|
| 69 |
+
"grad_norm": 0.2139946375583922,
|
| 70 |
+
"learning_rate": 8.163265306122449e-05,
|
| 71 |
+
"loss": 0.7414,
|
| 72 |
+
"step": 40
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.05,
|
| 76 |
+
"grad_norm": 0.21151116397910674,
|
| 77 |
+
"learning_rate": 9.183673469387756e-05,
|
| 78 |
+
"loss": 0.7377,
|
| 79 |
+
"step": 45
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.05,
|
| 83 |
+
"grad_norm": 0.22393538825183892,
|
| 84 |
+
"learning_rate": 0.00010204081632653062,
|
| 85 |
+
"loss": 0.7804,
|
| 86 |
+
"step": 50
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.06,
|
| 90 |
+
"grad_norm": 0.23672135676179382,
|
| 91 |
+
"learning_rate": 0.00011224489795918367,
|
| 92 |
+
"loss": 0.7587,
|
| 93 |
+
"step": 55
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.06,
|
| 97 |
+
"grad_norm": 0.19299901899888663,
|
| 98 |
+
"learning_rate": 0.00012244897959183676,
|
| 99 |
+
"loss": 0.7395,
|
| 100 |
+
"step": 60
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.07,
|
| 104 |
+
"grad_norm": 0.216886150554683,
|
| 105 |
+
"learning_rate": 0.0001326530612244898,
|
| 106 |
+
"loss": 0.7301,
|
| 107 |
+
"step": 65
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.07,
|
| 111 |
+
"grad_norm": 0.23673356651710506,
|
| 112 |
+
"learning_rate": 0.00014285714285714287,
|
| 113 |
+
"loss": 0.7038,
|
| 114 |
+
"step": 70
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.08,
|
| 118 |
+
"grad_norm": 0.24221298858964754,
|
| 119 |
+
"learning_rate": 0.0001530612244897959,
|
| 120 |
+
"loss": 0.7223,
|
| 121 |
+
"step": 75
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.08,
|
| 125 |
+
"grad_norm": 0.2281125789539668,
|
| 126 |
+
"learning_rate": 0.00016326530612244898,
|
| 127 |
+
"loss": 0.6883,
|
| 128 |
+
"step": 80
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.09,
|
| 132 |
+
"grad_norm": 0.20472032849324356,
|
| 133 |
+
"learning_rate": 0.00017346938775510205,
|
| 134 |
+
"loss": 0.7637,
|
| 135 |
+
"step": 85
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.09,
|
| 139 |
+
"grad_norm": 0.262981845017497,
|
| 140 |
+
"learning_rate": 0.00018367346938775512,
|
| 141 |
+
"loss": 0.7539,
|
| 142 |
+
"step": 90
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.1,
|
| 146 |
+
"grad_norm": 0.2045459660012419,
|
| 147 |
+
"learning_rate": 0.00019387755102040816,
|
| 148 |
+
"loss": 0.7145,
|
| 149 |
+
"step": 95
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.1,
|
| 153 |
+
"grad_norm": 0.19901520782139356,
|
| 154 |
+
"learning_rate": 0.0001999974277115551,
|
| 155 |
+
"loss": 0.746,
|
| 156 |
+
"step": 100
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.11,
|
| 160 |
+
"grad_norm": 0.20406293825215613,
|
| 161 |
+
"learning_rate": 0.00019996849098629418,
|
| 162 |
+
"loss": 0.6897,
|
| 163 |
+
"step": 105
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.11,
|
| 167 |
+
"grad_norm": 0.21959287502020255,
|
| 168 |
+
"learning_rate": 0.00019990741151022301,
|
| 169 |
+
"loss": 0.7047,
|
| 170 |
+
"step": 110
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.12,
|
| 174 |
+
"grad_norm": 0.2674905077734418,
|
| 175 |
+
"learning_rate": 0.0001998142089221534,
|
| 176 |
+
"loss": 0.7807,
|
| 177 |
+
"step": 115
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.12,
|
| 181 |
+
"grad_norm": 0.19121955233560559,
|
| 182 |
+
"learning_rate": 0.0001996889131894033,
|
| 183 |
+
"loss": 0.7405,
|
| 184 |
+
"step": 120
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.13,
|
| 188 |
+
"grad_norm": 0.2273017831695812,
|
| 189 |
+
"learning_rate": 0.00019953156459816179,
|
| 190 |
+
"loss": 0.7068,
|
| 191 |
+
"step": 125
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.13,
|
| 195 |
+
"grad_norm": 0.20355662352048876,
|
| 196 |
+
"learning_rate": 0.0001993422137405354,
|
| 197 |
+
"loss": 0.7405,
|
| 198 |
+
"step": 130
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.14,
|
| 202 |
+
"grad_norm": 0.20243555943079916,
|
| 203 |
+
"learning_rate": 0.00019912092149828174,
|
| 204 |
+
"loss": 0.77,
|
| 205 |
+
"step": 135
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.14,
|
| 209 |
+
"grad_norm": 0.2187163182490927,
|
| 210 |
+
"learning_rate": 0.00019886775902323405,
|
| 211 |
+
"loss": 0.7517,
|
| 212 |
+
"step": 140
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.15,
|
| 216 |
+
"grad_norm": 0.21898481894502772,
|
| 217 |
+
"learning_rate": 0.00019858280771442385,
|
| 218 |
+
"loss": 0.7449,
|
| 219 |
+
"step": 145
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.15,
|
| 223 |
+
"grad_norm": 0.2741369175466676,
|
| 224 |
+
"learning_rate": 0.00019826615919190887,
|
| 225 |
+
"loss": 0.7293,
|
| 226 |
+
"step": 150
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.16,
|
| 230 |
+
"grad_norm": 0.1963482017199379,
|
| 231 |
+
"learning_rate": 0.00019791791526731445,
|
| 232 |
+
"loss": 0.7338,
|
| 233 |
+
"step": 155
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.16,
|
| 237 |
+
"grad_norm": 0.2252716807662381,
|
| 238 |
+
"learning_rate": 0.00019753818791109828,
|
| 239 |
+
"loss": 0.7165,
|
| 240 |
+
"step": 160
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.17,
|
| 244 |
+
"grad_norm": 0.20760666448279344,
|
| 245 |
+
"learning_rate": 0.0001971270992165486,
|
| 246 |
+
"loss": 0.6738,
|
| 247 |
+
"step": 165
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.17,
|
| 251 |
+
"grad_norm": 0.20386126764416265,
|
| 252 |
+
"learning_rate": 0.00019668478136052774,
|
| 253 |
+
"loss": 0.6954,
|
| 254 |
+
"step": 170
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.18,
|
| 258 |
+
"grad_norm": 0.2044311112622246,
|
| 259 |
+
"learning_rate": 0.0001962113765609735,
|
| 260 |
+
"loss": 0.6905,
|
| 261 |
+
"step": 175
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.18,
|
| 265 |
+
"grad_norm": 0.19608231248059868,
|
| 266 |
+
"learning_rate": 0.0001957070370311717,
|
| 267 |
+
"loss": 0.7291,
|
| 268 |
+
"step": 180
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.19,
|
| 272 |
+
"grad_norm": 0.2344659008650863,
|
| 273 |
+
"learning_rate": 0.00019517192493081565,
|
| 274 |
+
"loss": 0.7213,
|
| 275 |
+
"step": 185
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.19,
|
| 279 |
+
"grad_norm": 0.2066414920484931,
|
| 280 |
+
"learning_rate": 0.00019460621231386676,
|
| 281 |
+
"loss": 0.7669,
|
| 282 |
+
"step": 190
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.2,
|
| 286 |
+
"grad_norm": 0.18973265779951576,
|
| 287 |
+
"learning_rate": 0.00019401008107323455,
|
| 288 |
+
"loss": 0.735,
|
| 289 |
+
"step": 195
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.21,
|
| 293 |
+
"grad_norm": 0.21253574311911852,
|
| 294 |
+
"learning_rate": 0.0001933837228822925,
|
| 295 |
+
"loss": 0.71,
|
| 296 |
+
"step": 200
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.21,
|
| 300 |
+
"grad_norm": 0.21426682728436638,
|
| 301 |
+
"learning_rate": 0.0001927273391332499,
|
| 302 |
+
"loss": 0.7394,
|
| 303 |
+
"step": 205
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.22,
|
| 307 |
+
"grad_norm": 0.19895817515454003,
|
| 308 |
+
"learning_rate": 0.00019204114087239806,
|
| 309 |
+
"loss": 0.7458,
|
| 310 |
+
"step": 210
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.22,
|
| 314 |
+
"grad_norm": 0.20302093776022942,
|
| 315 |
+
"learning_rate": 0.00019132534873225323,
|
| 316 |
+
"loss": 0.7314,
|
| 317 |
+
"step": 215
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.23,
|
| 321 |
+
"grad_norm": 0.2144349163303807,
|
| 322 |
+
"learning_rate": 0.00019058019286061665,
|
| 323 |
+
"loss": 0.7152,
|
| 324 |
+
"step": 220
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.23,
|
| 328 |
+
"grad_norm": 0.1971709726410862,
|
| 329 |
+
"learning_rate": 0.00018980591284657535,
|
| 330 |
+
"loss": 0.7365,
|
| 331 |
+
"step": 225
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.24,
|
| 335 |
+
"grad_norm": 0.22203472003740699,
|
| 336 |
+
"learning_rate": 0.00018900275764346768,
|
| 337 |
+
"loss": 0.7188,
|
| 338 |
+
"step": 230
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.24,
|
| 342 |
+
"grad_norm": 0.21934841651902945,
|
| 343 |
+
"learning_rate": 0.0001881709854888372,
|
| 344 |
+
"loss": 0.7107,
|
| 345 |
+
"step": 235
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.25,
|
| 349 |
+
"grad_norm": 0.1801668247807498,
|
| 350 |
+
"learning_rate": 0.00018731086382140226,
|
| 351 |
+
"loss": 0.725,
|
| 352 |
+
"step": 240
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.25,
|
| 356 |
+
"grad_norm": 0.21531423468010022,
|
| 357 |
+
"learning_rate": 0.00018642266919506644,
|
| 358 |
+
"loss": 0.728,
|
| 359 |
+
"step": 245
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.26,
|
| 363 |
+
"grad_norm": 0.22094698505169547,
|
| 364 |
+
"learning_rate": 0.00018550668718999872,
|
| 365 |
+
"loss": 0.6933,
|
| 366 |
+
"step": 250
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.26,
|
| 370 |
+
"grad_norm": 0.1773217147142517,
|
| 371 |
+
"learning_rate": 0.0001845632123208111,
|
| 372 |
+
"loss": 0.7513,
|
| 373 |
+
"step": 255
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.27,
|
| 377 |
+
"grad_norm": 0.2055315923802406,
|
| 378 |
+
"learning_rate": 0.0001835925479418637,
|
| 379 |
+
"loss": 0.7519,
|
| 380 |
+
"step": 260
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.27,
|
| 384 |
+
"grad_norm": 0.16963560799229266,
|
| 385 |
+
"learning_rate": 0.0001825950061497276,
|
| 386 |
+
"loss": 0.6841,
|
| 387 |
+
"step": 265
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.28,
|
| 391 |
+
"grad_norm": 0.22358671455728935,
|
| 392 |
+
"learning_rate": 0.00018157090768283678,
|
| 393 |
+
"loss": 0.7031,
|
| 394 |
+
"step": 270
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.28,
|
| 398 |
+
"grad_norm": 0.19649622034513511,
|
| 399 |
+
"learning_rate": 0.00018052058181836151,
|
| 400 |
+
"loss": 0.7152,
|
| 401 |
+
"step": 275
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.29,
|
| 405 |
+
"grad_norm": 0.23337948032120506,
|
| 406 |
+
"learning_rate": 0.00017944436626633623,
|
| 407 |
+
"loss": 0.7344,
|
| 408 |
+
"step": 280
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.29,
|
| 412 |
+
"grad_norm": 0.2230560456920727,
|
| 413 |
+
"learning_rate": 0.00017834260706107595,
|
| 414 |
+
"loss": 0.7048,
|
| 415 |
+
"step": 285
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.3,
|
| 419 |
+
"grad_norm": 0.18683201628360252,
|
| 420 |
+
"learning_rate": 0.00017721565844991643,
|
| 421 |
+
"loss": 0.6804,
|
| 422 |
+
"step": 290
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.3,
|
| 426 |
+
"grad_norm": 0.23557766421834736,
|
| 427 |
+
"learning_rate": 0.00017606388277931328,
|
| 428 |
+
"loss": 0.7466,
|
| 429 |
+
"step": 295
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.31,
|
| 433 |
+
"grad_norm": 0.20807682466726182,
|
| 434 |
+
"learning_rate": 0.0001748876503783373,
|
| 435 |
+
"loss": 0.7311,
|
| 436 |
+
"step": 300
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.31,
|
| 440 |
+
"grad_norm": 0.20735258362025547,
|
| 441 |
+
"learning_rate": 0.00017368733943960276,
|
| 442 |
+
"loss": 0.7272,
|
| 443 |
+
"step": 305
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.32,
|
| 447 |
+
"grad_norm": 0.20304702188871634,
|
| 448 |
+
"learning_rate": 0.00017246333589766787,
|
| 449 |
+
"loss": 0.745,
|
| 450 |
+
"step": 310
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.32,
|
| 454 |
+
"grad_norm": 0.20320219594683134,
|
| 455 |
+
"learning_rate": 0.00017121603330494544,
|
| 456 |
+
"loss": 0.7519,
|
| 457 |
+
"step": 315
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.33,
|
| 461 |
+
"grad_norm": 0.21213293638896646,
|
| 462 |
+
"learning_rate": 0.0001699458327051647,
|
| 463 |
+
"loss": 0.7359,
|
| 464 |
+
"step": 320
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.33,
|
| 468 |
+
"grad_norm": 0.21793747848007688,
|
| 469 |
+
"learning_rate": 0.00016865314250442398,
|
| 470 |
+
"loss": 0.7055,
|
| 471 |
+
"step": 325
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.34,
|
| 475 |
+
"grad_norm": 0.22141216826722213,
|
| 476 |
+
"learning_rate": 0.00016733837833987633,
|
| 477 |
+
"loss": 0.7037,
|
| 478 |
+
"step": 330
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.34,
|
| 482 |
+
"grad_norm": 0.22853984000819327,
|
| 483 |
+
"learning_rate": 0.00016600196294609045,
|
| 484 |
+
"loss": 0.7059,
|
| 485 |
+
"step": 335
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.35,
|
| 489 |
+
"grad_norm": 0.20663633655741356,
|
| 490 |
+
"learning_rate": 0.00016464432601912912,
|
| 491 |
+
"loss": 0.7177,
|
| 492 |
+
"step": 340
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.35,
|
| 496 |
+
"grad_norm": 0.18810130620976084,
|
| 497 |
+
"learning_rate": 0.0001632659040783897,
|
| 498 |
+
"loss": 0.7284,
|
| 499 |
+
"step": 345
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.36,
|
| 503 |
+
"grad_norm": 0.20429229628784093,
|
| 504 |
+
"learning_rate": 0.00016186714032625035,
|
| 505 |
+
"loss": 0.7408,
|
| 506 |
+
"step": 350
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.36,
|
| 510 |
+
"grad_norm": 0.22545843123823847,
|
| 511 |
+
"learning_rate": 0.00016044848450556787,
|
| 512 |
+
"loss": 0.7167,
|
| 513 |
+
"step": 355
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.37,
|
| 517 |
+
"grad_norm": 0.20814059355174414,
|
| 518 |
+
"learning_rate": 0.00015901039275507245,
|
| 519 |
+
"loss": 0.7119,
|
| 520 |
+
"step": 360
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.37,
|
| 524 |
+
"grad_norm": 0.20573234266098542,
|
| 525 |
+
"learning_rate": 0.00015755332746270572,
|
| 526 |
+
"loss": 0.7023,
|
| 527 |
+
"step": 365
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.38,
|
| 531 |
+
"grad_norm": 0.22027836397935158,
|
| 532 |
+
"learning_rate": 0.00015607775711694977,
|
| 533 |
+
"loss": 0.7145,
|
| 534 |
+
"step": 370
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.38,
|
| 538 |
+
"grad_norm": 0.23097511819867636,
|
| 539 |
+
"learning_rate": 0.00015458415615619484,
|
| 540 |
+
"loss": 0.7037,
|
| 541 |
+
"step": 375
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.39,
|
| 545 |
+
"grad_norm": 0.18436146046862298,
|
| 546 |
+
"learning_rate": 0.00015307300481619333,
|
| 547 |
+
"loss": 0.7419,
|
| 548 |
+
"step": 380
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.4,
|
| 552 |
+
"grad_norm": 0.21587522416498928,
|
| 553 |
+
"learning_rate": 0.00015154478897565045,
|
| 554 |
+
"loss": 0.76,
|
| 555 |
+
"step": 385
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.4,
|
| 559 |
+
"grad_norm": 0.18717033363542637,
|
| 560 |
+
"learning_rate": 0.00015000000000000001,
|
| 561 |
+
"loss": 0.7144,
|
| 562 |
+
"step": 390
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.41,
|
| 566 |
+
"grad_norm": 0.20860152567696305,
|
| 567 |
+
"learning_rate": 0.00014843913458341645,
|
| 568 |
+
"loss": 0.6931,
|
| 569 |
+
"step": 395
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.41,
|
| 573 |
+
"grad_norm": 0.23965643462280595,
|
| 574 |
+
"learning_rate": 0.00014686269458911332,
|
| 575 |
+
"loss": 0.7057,
|
| 576 |
+
"step": 400
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.42,
|
| 580 |
+
"grad_norm": 0.20436937033016242,
|
| 581 |
+
"learning_rate": 0.00014527118688797963,
|
| 582 |
+
"loss": 0.7508,
|
| 583 |
+
"step": 405
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.42,
|
| 587 |
+
"grad_norm": 0.23533937009710554,
|
| 588 |
+
"learning_rate": 0.0001436651231956064,
|
| 589 |
+
"loss": 0.7168,
|
| 590 |
+
"step": 410
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.43,
|
| 594 |
+
"grad_norm": 0.22180461462318066,
|
| 595 |
+
"learning_rate": 0.00014204501990775533,
|
| 596 |
+
"loss": 0.7335,
|
| 597 |
+
"step": 415
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.43,
|
| 601 |
+
"grad_norm": 0.1996738235990708,
|
| 602 |
+
"learning_rate": 0.00014041139793432274,
|
| 603 |
+
"loss": 0.7162,
|
| 604 |
+
"step": 420
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.44,
|
| 608 |
+
"grad_norm": 0.21103614768476256,
|
| 609 |
+
"learning_rate": 0.00013876478253185183,
|
| 610 |
+
"loss": 0.7331,
|
| 611 |
+
"step": 425
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.44,
|
| 615 |
+
"grad_norm": 0.22289372370077495,
|
| 616 |
+
"learning_rate": 0.00013710570313464778,
|
| 617 |
+
"loss": 0.7044,
|
| 618 |
+
"step": 430
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.45,
|
| 622 |
+
"grad_norm": 0.229537262499816,
|
| 623 |
+
"learning_rate": 0.0001354346931845492,
|
| 624 |
+
"loss": 0.75,
|
| 625 |
+
"step": 435
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.45,
|
| 629 |
+
"grad_norm": 0.19323768910419992,
|
| 630 |
+
"learning_rate": 0.00013375228995941133,
|
| 631 |
+
"loss": 0.7351,
|
| 632 |
+
"step": 440
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.46,
|
| 636 |
+
"grad_norm": 0.2047265000452632,
|
| 637 |
+
"learning_rate": 0.0001320590344003557,
|
| 638 |
+
"loss": 0.7332,
|
| 639 |
+
"step": 445
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.46,
|
| 643 |
+
"grad_norm": 0.21689200679001508,
|
| 644 |
+
"learning_rate": 0.00013035547093784186,
|
| 645 |
+
"loss": 0.7193,
|
| 646 |
+
"step": 450
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.47,
|
| 650 |
+
"grad_norm": 0.18177975055261658,
|
| 651 |
+
"learning_rate": 0.00012864214731661742,
|
| 652 |
+
"loss": 0.7062,
|
| 653 |
+
"step": 455
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.47,
|
| 657 |
+
"grad_norm": 0.22823965854179848,
|
| 658 |
+
"learning_rate": 0.00012691961441960238,
|
| 659 |
+
"loss": 0.6943,
|
| 660 |
+
"step": 460
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.48,
|
| 664 |
+
"grad_norm": 0.19970723650312586,
|
| 665 |
+
"learning_rate": 0.00012518842609076413,
|
| 666 |
+
"loss": 0.7188,
|
| 667 |
+
"step": 465
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.48,
|
| 671 |
+
"grad_norm": 0.21665273924724815,
|
| 672 |
+
"learning_rate": 0.00012344913895704097,
|
| 673 |
+
"loss": 0.7296,
|
| 674 |
+
"step": 470
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.49,
|
| 678 |
+
"grad_norm": 0.20693546255073467,
|
| 679 |
+
"learning_rate": 0.00012170231224937032,
|
| 680 |
+
"loss": 0.7084,
|
| 681 |
+
"step": 475
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.49,
|
| 685 |
+
"grad_norm": 0.2230052437580283,
|
| 686 |
+
"learning_rate": 0.00011994850762287989,
|
| 687 |
+
"loss": 0.7286,
|
| 688 |
+
"step": 480
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.5,
|
| 692 |
+
"grad_norm": 0.20642193075079962,
|
| 693 |
+
"learning_rate": 0.0001181882889762994,
|
| 694 |
+
"loss": 0.739,
|
| 695 |
+
"step": 485
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.5,
|
| 699 |
+
"grad_norm": 0.19372424148062226,
|
| 700 |
+
"learning_rate": 0.00011642222227065089,
|
| 701 |
+
"loss": 0.7072,
|
| 702 |
+
"step": 490
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.51,
|
| 706 |
+
"grad_norm": 0.23927300164054763,
|
| 707 |
+
"learning_rate": 0.00011465087534727587,
|
| 708 |
+
"loss": 0.779,
|
| 709 |
+
"step": 495
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.51,
|
| 713 |
+
"grad_norm": 0.2284386096464582,
|
| 714 |
+
"learning_rate": 0.0001128748177452581,
|
| 715 |
+
"loss": 0.7125,
|
| 716 |
+
"step": 500
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.52,
|
| 720 |
+
"grad_norm": 0.1914737248165551,
|
| 721 |
+
"learning_rate": 0.00011109462051830017,
|
| 722 |
+
"loss": 0.7672,
|
| 723 |
+
"step": 505
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.52,
|
| 727 |
+
"grad_norm": 0.19448312525913036,
|
| 728 |
+
"learning_rate": 0.00010931085605111354,
|
| 729 |
+
"loss": 0.6975,
|
| 730 |
+
"step": 510
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.53,
|
| 734 |
+
"grad_norm": 0.21441915676709558,
|
| 735 |
+
"learning_rate": 0.00010752409787538,
|
| 736 |
+
"loss": 0.7269,
|
| 737 |
+
"step": 515
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.53,
|
| 741 |
+
"grad_norm": 0.19881919454925634,
|
| 742 |
+
"learning_rate": 0.00010573492048534515,
|
| 743 |
+
"loss": 0.6814,
|
| 744 |
+
"step": 520
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.54,
|
| 748 |
+
"grad_norm": 0.19972824907153813,
|
| 749 |
+
"learning_rate": 0.00010394389915310149,
|
| 750 |
+
"loss": 0.68,
|
| 751 |
+
"step": 525
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.54,
|
| 755 |
+
"grad_norm": 0.2406076929176273,
|
| 756 |
+
"learning_rate": 0.00010215160974362223,
|
| 757 |
+
"loss": 0.7707,
|
| 758 |
+
"step": 530
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.55,
|
| 762 |
+
"grad_norm": 0.20777439386702035,
|
| 763 |
+
"learning_rate": 0.00010035862852960387,
|
| 764 |
+
"loss": 0.7491,
|
| 765 |
+
"step": 535
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.55,
|
| 769 |
+
"grad_norm": 0.24747809376637386,
|
| 770 |
+
"learning_rate": 9.856553200617805e-05,
|
| 771 |
+
"loss": 0.6889,
|
| 772 |
+
"step": 540
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.56,
|
| 776 |
+
"grad_norm": 0.20716823780350135,
|
| 777 |
+
"learning_rate": 9.677289670555169e-05,
|
| 778 |
+
"loss": 0.7247,
|
| 779 |
+
"step": 545
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.56,
|
| 783 |
+
"grad_norm": 0.1991885456295323,
|
| 784 |
+
"learning_rate": 9.49812990116353e-05,
|
| 785 |
+
"loss": 0.7411,
|
| 786 |
+
"step": 550
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.57,
|
| 790 |
+
"grad_norm": 0.20535559514249033,
|
| 791 |
+
"learning_rate": 9.319131497471894e-05,
|
| 792 |
+
"loss": 0.75,
|
| 793 |
+
"step": 555
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.57,
|
| 797 |
+
"grad_norm": 0.18612767193322602,
|
| 798 |
+
"learning_rate": 9.140352012625537e-05,
|
| 799 |
+
"loss": 0.7214,
|
| 800 |
+
"step": 560
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.58,
|
| 804 |
+
"grad_norm": 0.21568066556853366,
|
| 805 |
+
"learning_rate": 8.961848929381026e-05,
|
| 806 |
+
"loss": 0.7378,
|
| 807 |
+
"step": 565
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.58,
|
| 811 |
+
"grad_norm": 0.20352009266326396,
|
| 812 |
+
"learning_rate": 8.783679641623845e-05,
|
| 813 |
+
"loss": 0.7332,
|
| 814 |
+
"step": 570
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.59,
|
| 818 |
+
"grad_norm": 0.23303296784518934,
|
| 819 |
+
"learning_rate": 8.605901435914607e-05,
|
| 820 |
+
"loss": 0.7005,
|
| 821 |
+
"step": 575
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.6,
|
| 825 |
+
"grad_norm": 0.19779884278017262,
|
| 826 |
+
"learning_rate": 8.428571473069775e-05,
|
| 827 |
+
"loss": 0.7281,
|
| 828 |
+
"step": 580
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.6,
|
| 832 |
+
"grad_norm": 0.23013073874335851,
|
| 833 |
+
"learning_rate": 8.25174676978282e-05,
|
| 834 |
+
"loss": 0.6749,
|
| 835 |
+
"step": 585
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.61,
|
| 839 |
+
"grad_norm": 0.2248906461637265,
|
| 840 |
+
"learning_rate": 8.075484180291701e-05,
|
| 841 |
+
"loss": 0.6938,
|
| 842 |
+
"step": 590
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.61,
|
| 846 |
+
"grad_norm": 0.18810582346079818,
|
| 847 |
+
"learning_rate": 7.899840378098588e-05,
|
| 848 |
+
"loss": 0.7388,
|
| 849 |
+
"step": 595
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.62,
|
| 853 |
+
"grad_norm": 0.20884410793300284,
|
| 854 |
+
"learning_rate": 7.724871837747707e-05,
|
| 855 |
+
"loss": 0.7373,
|
| 856 |
+
"step": 600
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.62,
|
| 860 |
+
"grad_norm": 0.2166745910351328,
|
| 861 |
+
"learning_rate": 7.550634816667142e-05,
|
| 862 |
+
"loss": 0.6979,
|
| 863 |
+
"step": 605
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.63,
|
| 867 |
+
"grad_norm": 0.24100998404487434,
|
| 868 |
+
"learning_rate": 7.377185337080442e-05,
|
| 869 |
+
"loss": 0.7076,
|
| 870 |
+
"step": 610
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.63,
|
| 874 |
+
"grad_norm": 0.2256882455993147,
|
| 875 |
+
"learning_rate": 7.204579167993881e-05,
|
| 876 |
+
"loss": 0.731,
|
| 877 |
+
"step": 615
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.64,
|
| 881 |
+
"grad_norm": 0.18574834794500147,
|
| 882 |
+
"learning_rate": 7.032871807265096e-05,
|
| 883 |
+
"loss": 0.7473,
|
| 884 |
+
"step": 620
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.64,
|
| 888 |
+
"grad_norm": 0.19595704844512632,
|
| 889 |
+
"learning_rate": 6.862118463758943e-05,
|
| 890 |
+
"loss": 0.7123,
|
| 891 |
+
"step": 625
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.65,
|
| 895 |
+
"grad_norm": 0.1922152988123935,
|
| 896 |
+
"learning_rate": 6.69237403959624e-05,
|
| 897 |
+
"loss": 0.7155,
|
| 898 |
+
"step": 630
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.65,
|
| 902 |
+
"grad_norm": 0.22349381871955526,
|
| 903 |
+
"learning_rate": 6.52369311250116e-05,
|
| 904 |
+
"loss": 0.6986,
|
| 905 |
+
"step": 635
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.66,
|
| 909 |
+
"grad_norm": 0.1860191514854131,
|
| 910 |
+
"learning_rate": 6.356129918252927e-05,
|
| 911 |
+
"loss": 0.7194,
|
| 912 |
+
"step": 640
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.66,
|
| 916 |
+
"grad_norm": 0.21287065828060023,
|
| 917 |
+
"learning_rate": 6.189738333247432e-05,
|
| 918 |
+
"loss": 0.6888,
|
| 919 |
+
"step": 645
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.67,
|
| 923 |
+
"grad_norm": 0.21736641037698234,
|
| 924 |
+
"learning_rate": 6.024571857174443e-05,
|
| 925 |
+
"loss": 0.74,
|
| 926 |
+
"step": 650
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.67,
|
| 930 |
+
"grad_norm": 0.2161329163446709,
|
| 931 |
+
"learning_rate": 5.860683595815893e-05,
|
| 932 |
+
"loss": 0.6949,
|
| 933 |
+
"step": 655
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.68,
|
| 937 |
+
"grad_norm": 0.19032361730874883,
|
| 938 |
+
"learning_rate": 5.698126243970845e-05,
|
| 939 |
+
"loss": 0.7027,
|
| 940 |
+
"step": 660
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.68,
|
| 944 |
+
"grad_norm": 0.20020919043570076,
|
| 945 |
+
"learning_rate": 5.536952068512608e-05,
|
| 946 |
+
"loss": 0.7079,
|
| 947 |
+
"step": 665
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.69,
|
| 951 |
+
"grad_norm": 0.19493600127593236,
|
| 952 |
+
"learning_rate": 5.3772128915834184e-05,
|
| 953 |
+
"loss": 0.7946,
|
| 954 |
+
"step": 670
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.69,
|
| 958 |
+
"grad_norm": 0.1937560205349817,
|
| 959 |
+
"learning_rate": 5.218960073932122e-05,
|
| 960 |
+
"loss": 0.7512,
|
| 961 |
+
"step": 675
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.7,
|
| 965 |
+
"grad_norm": 0.20929045061919116,
|
| 966 |
+
"learning_rate": 5.062244498400228e-05,
|
| 967 |
+
"loss": 0.7401,
|
| 968 |
+
"step": 680
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.7,
|
| 972 |
+
"grad_norm": 0.19822387763869162,
|
| 973 |
+
"learning_rate": 4.907116553561607e-05,
|
| 974 |
+
"loss": 0.7035,
|
| 975 |
+
"step": 685
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.71,
|
| 979 |
+
"grad_norm": 0.18973790696605586,
|
| 980 |
+
"learning_rate": 4.753626117521103e-05,
|
| 981 |
+
"loss": 0.6855,
|
| 982 |
+
"step": 690
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.71,
|
| 986 |
+
"grad_norm": 0.1951787661520754,
|
| 987 |
+
"learning_rate": 4.601822541877291e-05,
|
| 988 |
+
"loss": 0.697,
|
| 989 |
+
"step": 695
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.72,
|
| 993 |
+
"grad_norm": 0.23171207370747388,
|
| 994 |
+
"learning_rate": 4.451754635854517e-05,
|
| 995 |
+
"loss": 0.7174,
|
| 996 |
+
"step": 700
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.72,
|
| 1000 |
+
"grad_norm": 0.20672883919318008,
|
| 1001 |
+
"learning_rate": 4.303470650609325e-05,
|
| 1002 |
+
"loss": 0.6991,
|
| 1003 |
+
"step": 705
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.73,
|
| 1007 |
+
"grad_norm": 0.20596139821563042,
|
| 1008 |
+
"learning_rate": 4.1570182637163155e-05,
|
| 1009 |
+
"loss": 0.7579,
|
| 1010 |
+
"step": 710
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.73,
|
| 1014 |
+
"grad_norm": 0.21052057640954702,
|
| 1015 |
+
"learning_rate": 4.0124445638384366e-05,
|
| 1016 |
+
"loss": 0.6564,
|
| 1017 |
+
"step": 715
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.74,
|
| 1021 |
+
"grad_norm": 0.2194425673779361,
|
| 1022 |
+
"learning_rate": 3.869796035586625e-05,
|
| 1023 |
+
"loss": 0.7112,
|
| 1024 |
+
"step": 720
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.74,
|
| 1028 |
+
"grad_norm": 0.18864013157813014,
|
| 1029 |
+
"learning_rate": 3.7291185445736444e-05,
|
| 1030 |
+
"loss": 0.7009,
|
| 1031 |
+
"step": 725
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.75,
|
| 1035 |
+
"grad_norm": 0.20033201942780526,
|
| 1036 |
+
"learning_rate": 3.590457322666997e-05,
|
| 1037 |
+
"loss": 0.7412,
|
| 1038 |
+
"step": 730
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.75,
|
| 1042 |
+
"grad_norm": 0.21557678658312107,
|
| 1043 |
+
"learning_rate": 3.453856953445557e-05,
|
| 1044 |
+
"loss": 0.7384,
|
| 1045 |
+
"step": 735
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.76,
|
| 1049 |
+
"grad_norm": 0.1793703740528382,
|
| 1050 |
+
"learning_rate": 3.319361357864663e-05,
|
| 1051 |
+
"loss": 0.7098,
|
| 1052 |
+
"step": 740
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.76,
|
| 1056 |
+
"grad_norm": 0.1804784138992169,
|
| 1057 |
+
"learning_rate": 3.187013780134291e-05,
|
| 1058 |
+
"loss": 0.7287,
|
| 1059 |
+
"step": 745
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.77,
|
| 1063 |
+
"grad_norm": 0.1868508163249596,
|
| 1064 |
+
"learning_rate": 3.05685677381475e-05,
|
| 1065 |
+
"loss": 0.7472,
|
| 1066 |
+
"step": 750
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.77,
|
| 1070 |
+
"grad_norm": 0.21833090239816652,
|
| 1071 |
+
"learning_rate": 2.9289321881345254e-05,
|
| 1072 |
+
"loss": 0.7121,
|
| 1073 |
+
"step": 755
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.78,
|
| 1077 |
+
"grad_norm": 0.22900968128450175,
|
| 1078 |
+
"learning_rate": 2.8032811545345294e-05,
|
| 1079 |
+
"loss": 0.7631,
|
| 1080 |
+
"step": 760
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.79,
|
| 1084 |
+
"grad_norm": 0.25207875961572096,
|
| 1085 |
+
"learning_rate": 2.679944073443158e-05,
|
| 1086 |
+
"loss": 0.717,
|
| 1087 |
+
"step": 765
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.79,
|
| 1091 |
+
"grad_norm": 0.21435265220399202,
|
| 1092 |
+
"learning_rate": 2.5589606012863963e-05,
|
| 1093 |
+
"loss": 0.7391,
|
| 1094 |
+
"step": 770
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.8,
|
| 1098 |
+
"grad_norm": 0.21363241574566763,
|
| 1099 |
+
"learning_rate": 2.4403696377371142e-05,
|
| 1100 |
+
"loss": 0.7446,
|
| 1101 |
+
"step": 775
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.8,
|
| 1105 |
+
"grad_norm": 0.20585815945916697,
|
| 1106 |
+
"learning_rate": 2.324209313207736e-05,
|
| 1107 |
+
"loss": 0.7582,
|
| 1108 |
+
"step": 780
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.81,
|
| 1112 |
+
"grad_norm": 0.20004345669038107,
|
| 1113 |
+
"learning_rate": 2.210516976590179e-05,
|
| 1114 |
+
"loss": 0.7302,
|
| 1115 |
+
"step": 785
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.81,
|
| 1119 |
+
"grad_norm": 0.22895803213623186,
|
| 1120 |
+
"learning_rate": 2.099329183247126e-05,
|
| 1121 |
+
"loss": 0.7175,
|
| 1122 |
+
"step": 790
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.82,
|
| 1126 |
+
"grad_norm": 0.19029034354303137,
|
| 1127 |
+
"learning_rate": 1.9906816832584253e-05,
|
| 1128 |
+
"loss": 0.6968,
|
| 1129 |
+
"step": 795
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.82,
|
| 1133 |
+
"grad_norm": 0.18984158225134234,
|
| 1134 |
+
"learning_rate": 1.8846094099263912e-05,
|
| 1135 |
+
"loss": 0.7259,
|
| 1136 |
+
"step": 800
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.83,
|
| 1140 |
+
"grad_norm": 0.20694620466818364,
|
| 1141 |
+
"learning_rate": 1.781146468543765e-05,
|
| 1142 |
+
"loss": 0.6664,
|
| 1143 |
+
"step": 805
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.83,
|
| 1147 |
+
"grad_norm": 0.1880785385367806,
|
| 1148 |
+
"learning_rate": 1.6803261254278636e-05,
|
| 1149 |
+
"loss": 0.6995,
|
| 1150 |
+
"step": 810
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.84,
|
| 1154 |
+
"grad_norm": 0.23959056489828764,
|
| 1155 |
+
"learning_rate": 1.582180797224507e-05,
|
| 1156 |
+
"loss": 0.7076,
|
| 1157 |
+
"step": 815
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.84,
|
| 1161 |
+
"grad_norm": 0.2074947617084518,
|
| 1162 |
+
"learning_rate": 1.4867420404851307e-05,
|
| 1163 |
+
"loss": 0.7257,
|
| 1164 |
+
"step": 820
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.85,
|
| 1168 |
+
"grad_norm": 0.1697947347606707,
|
| 1169 |
+
"learning_rate": 1.3940405415204416e-05,
|
| 1170 |
+
"loss": 0.729,
|
| 1171 |
+
"step": 825
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.85,
|
| 1175 |
+
"grad_norm": 0.19240120017654297,
|
| 1176 |
+
"learning_rate": 1.30410610653389e-05,
|
| 1177 |
+
"loss": 0.7579,
|
| 1178 |
+
"step": 830
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.86,
|
| 1182 |
+
"grad_norm": 0.22247780509078305,
|
| 1183 |
+
"learning_rate": 1.2169676520381168e-05,
|
| 1184 |
+
"loss": 0.7197,
|
| 1185 |
+
"step": 835
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.86,
|
| 1189 |
+
"grad_norm": 0.2186893700102881,
|
| 1190 |
+
"learning_rate": 1.1326531955574526e-05,
|
| 1191 |
+
"loss": 0.7392,
|
| 1192 |
+
"step": 840
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.87,
|
| 1196 |
+
"grad_norm": 0.19758258278741933,
|
| 1197 |
+
"learning_rate": 1.0511898466194903e-05,
|
| 1198 |
+
"loss": 0.7161,
|
| 1199 |
+
"step": 845
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.87,
|
| 1203 |
+
"grad_norm": 0.1935470586238971,
|
| 1204 |
+
"learning_rate": 9.726037980385738e-06,
|
| 1205 |
+
"loss": 0.6866,
|
| 1206 |
+
"step": 850
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.88,
|
| 1210 |
+
"grad_norm": 0.20632207102948852,
|
| 1211 |
+
"learning_rate": 8.969203174940654e-06,
|
| 1212 |
+
"loss": 0.7005,
|
| 1213 |
+
"step": 855
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.88,
|
| 1217 |
+
"grad_norm": 0.1864625802291902,
|
| 1218 |
+
"learning_rate": 8.24163739406062e-06,
|
| 1219 |
+
"loss": 0.7332,
|
| 1220 |
+
"step": 860
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.89,
|
| 1224 |
+
"grad_norm": 0.1856036197326992,
|
| 1225 |
+
"learning_rate": 7.543574571111655e-06,
|
| 1226 |
+
"loss": 0.7387,
|
| 1227 |
+
"step": 865
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.89,
|
| 1231 |
+
"grad_norm": 0.21017043077001935,
|
| 1232 |
+
"learning_rate": 6.875239153408542e-06,
|
| 1233 |
+
"loss": 0.6983,
|
| 1234 |
+
"step": 870
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.9,
|
| 1238 |
+
"grad_norm": 0.22653212036464043,
|
| 1239 |
+
"learning_rate": 6.236846030048604e-06,
|
| 1240 |
+
"loss": 0.7,
|
| 1241 |
+
"step": 875
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.9,
|
| 1245 |
+
"grad_norm": 0.1799402029152891,
|
| 1246 |
+
"learning_rate": 5.6286004628186675e-06,
|
| 1247 |
+
"loss": 0.7291,
|
| 1248 |
+
"step": 880
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.91,
|
| 1252 |
+
"grad_norm": 0.20533686230996426,
|
| 1253 |
+
"learning_rate": 5.0506980201973974e-06,
|
| 1254 |
+
"loss": 0.7303,
|
| 1255 |
+
"step": 885
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.91,
|
| 1259 |
+
"grad_norm": 0.20499691124412314,
|
| 1260 |
+
"learning_rate": 4.503324514474483e-06,
|
| 1261 |
+
"loss": 0.7543,
|
| 1262 |
+
"step": 890
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.92,
|
| 1266 |
+
"grad_norm": 0.20195822302653685,
|
| 1267 |
+
"learning_rate": 3.986655942006579e-06,
|
| 1268 |
+
"loss": 0.7246,
|
| 1269 |
+
"step": 895
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.92,
|
| 1273 |
+
"grad_norm": 0.23109568891518523,
|
| 1274 |
+
"learning_rate": 3.5008584266294386e-06,
|
| 1275 |
+
"loss": 0.7003,
|
| 1276 |
+
"step": 900
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.93,
|
| 1280 |
+
"grad_norm": 0.2213682915194419,
|
| 1281 |
+
"learning_rate": 3.0460881662442763e-06,
|
| 1282 |
+
"loss": 0.7511,
|
| 1283 |
+
"step": 905
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.93,
|
| 1287 |
+
"grad_norm": 0.21218423218406246,
|
| 1288 |
+
"learning_rate": 2.622491382595693e-06,
|
| 1289 |
+
"loss": 0.7221,
|
| 1290 |
+
"step": 910
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.94,
|
| 1294 |
+
"grad_norm": 0.21119477478168394,
|
| 1295 |
+
"learning_rate": 2.2302042742571193e-06,
|
| 1296 |
+
"loss": 0.7139,
|
| 1297 |
+
"step": 915
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.94,
|
| 1301 |
+
"grad_norm": 0.19455625533472815,
|
| 1302 |
+
"learning_rate": 1.869352972839067e-06,
|
| 1303 |
+
"loss": 0.7059,
|
| 1304 |
+
"step": 920
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.95,
|
| 1308 |
+
"grad_norm": 0.2364635036372563,
|
| 1309 |
+
"learning_rate": 1.5400535024342022e-06,
|
| 1310 |
+
"loss": 0.6871,
|
| 1311 |
+
"step": 925
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.95,
|
| 1315 |
+
"grad_norm": 0.23010554295931945,
|
| 1316 |
+
"learning_rate": 1.2424117423122328e-06,
|
| 1317 |
+
"loss": 0.7364,
|
| 1318 |
+
"step": 930
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.96,
|
| 1322 |
+
"grad_norm": 0.18952563182659934,
|
| 1323 |
+
"learning_rate": 9.765233928766493e-07,
|
| 1324 |
+
"loss": 0.7058,
|
| 1325 |
+
"step": 935
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.96,
|
| 1329 |
+
"grad_norm": 0.21828660241676695,
|
| 1330 |
+
"learning_rate": 7.42473944894384e-07,
|
| 1331 |
+
"loss": 0.6962,
|
| 1332 |
+
"step": 940
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.97,
|
| 1336 |
+
"grad_norm": 0.18672947784161634,
|
| 1337 |
+
"learning_rate": 5.403386520079323e-07,
|
| 1338 |
+
"loss": 0.6808,
|
| 1339 |
+
"step": 945
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.97,
|
| 1343 |
+
"grad_norm": 0.1911360941907681,
|
| 1344 |
+
"learning_rate": 3.701825065392184e-07,
|
| 1345 |
+
"loss": 0.7428,
|
| 1346 |
+
"step": 950
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.98,
|
| 1350 |
+
"grad_norm": 0.18259404077794916,
|
| 1351 |
+
"learning_rate": 2.320602185927001e-07,
|
| 1352 |
+
"loss": 0.6799,
|
| 1353 |
+
"step": 955
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.99,
|
| 1357 |
+
"grad_norm": 0.20002215130980527,
|
| 1358 |
+
"learning_rate": 1.2601619846444035e-07,
|
| 1359 |
+
"loss": 0.7611,
|
| 1360 |
+
"step": 960
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.99,
|
| 1364 |
+
"grad_norm": 0.19193385733473736,
|
| 1365 |
+
"learning_rate": 5.208454236296234e-08,
|
| 1366 |
+
"loss": 0.7183,
|
| 1367 |
+
"step": 965
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 1.0,
|
| 1371 |
+
"grad_norm": 0.22837515366442288,
|
| 1372 |
+
"learning_rate": 1.0289021446308056e-08,
|
| 1373 |
+
"loss": 0.7474,
|
| 1374 |
+
"step": 970
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 1.0,
|
| 1378 |
+
"eval_loss": NaN,
|
| 1379 |
+
"eval_runtime": 1509.2466,
|
| 1380 |
+
"eval_samples_per_second": 1.531,
|
| 1381 |
+
"eval_steps_per_second": 0.383,
|
| 1382 |
+
"step": 974
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 1.0,
|
| 1386 |
+
"step": 974,
|
| 1387 |
+
"total_flos": 1.1274999981146112e+16,
|
| 1388 |
+
"train_loss": 0.7250666028420294,
|
| 1389 |
+
"train_runtime": 36380.3803,
|
| 1390 |
+
"train_samples_per_second": 1.714,
|
| 1391 |
+
"train_steps_per_second": 0.027
|
| 1392 |
+
}
|
| 1393 |
+
],
|
| 1394 |
+
"logging_steps": 5,
|
| 1395 |
+
"max_steps": 974,
|
| 1396 |
+
"num_input_tokens_seen": 0,
|
| 1397 |
+
"num_train_epochs": 1,
|
| 1398 |
+
"save_steps": 100,
|
| 1399 |
+
"total_flos": 1.1274999981146112e+16,
|
| 1400 |
+
"train_batch_size": 8,
|
| 1401 |
+
"trial_name": null,
|
| 1402 |
+
"trial_params": null
|
| 1403 |
+
}
|