Model save
Browse files- README.md +69 -0
- all_results.json +9 -0
- generation_config.json +6 -0
- train_results.json +9 -0
- trainer_state.json +835 -0
README.md
ADDED
|
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: llama2
|
| 4 |
+
base_model: codellama/CodeLlama-7b-Instruct-hf
|
| 5 |
+
tags:
|
| 6 |
+
- trl
|
| 7 |
+
- sft
|
| 8 |
+
- generated_from_trainer
|
| 9 |
+
datasets:
|
| 10 |
+
- generator
|
| 11 |
+
model-index:
|
| 12 |
+
- name: codellama-7b-ultrachat
|
| 13 |
+
results: []
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 17 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 18 |
+
|
| 19 |
+
# codellama-7b-ultrachat
|
| 20 |
+
|
| 21 |
+
This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the generator dataset.
|
| 22 |
+
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 1.0320
|
| 24 |
+
|
| 25 |
+
## Model description
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Intended uses & limitations
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training and evaluation data
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training procedure
|
| 38 |
+
|
| 39 |
+
### Training hyperparameters
|
| 40 |
+
|
| 41 |
+
The following hyperparameters were used during training:
|
| 42 |
+
- learning_rate: 2e-05
|
| 43 |
+
- train_batch_size: 1
|
| 44 |
+
- eval_batch_size: 4
|
| 45 |
+
- seed: 42
|
| 46 |
+
- distributed_type: multi-GPU
|
| 47 |
+
- num_devices: 4
|
| 48 |
+
- gradient_accumulation_steps: 32
|
| 49 |
+
- total_train_batch_size: 128
|
| 50 |
+
- total_eval_batch_size: 16
|
| 51 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 52 |
+
- lr_scheduler_type: cosine
|
| 53 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 54 |
+
- num_epochs: 2
|
| 55 |
+
|
| 56 |
+
### Training results
|
| 57 |
+
|
| 58 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 59 |
+
|:-------------:|:------:|:----:|:---------------:|
|
| 60 |
+
| 1.0317 | 0.9995 | 555 | 1.0397 |
|
| 61 |
+
| 0.9698 | 1.9991 | 1110 | 1.0320 |
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
### Framework versions
|
| 65 |
+
|
| 66 |
+
- Transformers 4.44.2
|
| 67 |
+
- Pytorch 2.1.2
|
| 68 |
+
- Datasets 2.14.6
|
| 69 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.9990995047276003,
|
| 3 |
+
"total_flos": 929619498762240.0,
|
| 4 |
+
"train_loss": 1.0262996888375497,
|
| 5 |
+
"train_runtime": 54210.2289,
|
| 6 |
+
"train_samples": 207864,
|
| 7 |
+
"train_samples_per_second": 2.622,
|
| 8 |
+
"train_steps_per_second": 0.02
|
| 9 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"transformers_version": "4.44.2"
|
| 6 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.9990995047276003,
|
| 3 |
+
"total_flos": 929619498762240.0,
|
| 4 |
+
"train_loss": 1.0262996888375497,
|
| 5 |
+
"train_runtime": 54210.2289,
|
| 6 |
+
"train_samples": 207864,
|
| 7 |
+
"train_samples_per_second": 2.622,
|
| 8 |
+
"train_steps_per_second": 0.02
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,835 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.9990995047276003,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1110,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.018009905447996397,
|
| 13 |
+
"grad_norm": 3.8927660727308404,
|
| 14 |
+
"learning_rate": 1.801801801801802e-06,
|
| 15 |
+
"loss": 1.3686,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.03601981089599279,
|
| 20 |
+
"grad_norm": 1.2914340039825571,
|
| 21 |
+
"learning_rate": 3.603603603603604e-06,
|
| 22 |
+
"loss": 1.2618,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0540297163439892,
|
| 27 |
+
"grad_norm": 0.5117572348414451,
|
| 28 |
+
"learning_rate": 5.405405405405406e-06,
|
| 29 |
+
"loss": 1.1941,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.07203962179198559,
|
| 34 |
+
"grad_norm": 0.3415375067191979,
|
| 35 |
+
"learning_rate": 7.207207207207208e-06,
|
| 36 |
+
"loss": 1.157,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.090049527239982,
|
| 41 |
+
"grad_norm": 0.3050099720948823,
|
| 42 |
+
"learning_rate": 9.00900900900901e-06,
|
| 43 |
+
"loss": 1.1486,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.1080594326879784,
|
| 48 |
+
"grad_norm": 0.2628693083106922,
|
| 49 |
+
"learning_rate": 1.0810810810810812e-05,
|
| 50 |
+
"loss": 1.12,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.1260693381359748,
|
| 55 |
+
"grad_norm": 0.23606513506788576,
|
| 56 |
+
"learning_rate": 1.2612612612612613e-05,
|
| 57 |
+
"loss": 1.1014,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.14407924358397117,
|
| 62 |
+
"grad_norm": 0.24000278532244093,
|
| 63 |
+
"learning_rate": 1.4414414414414416e-05,
|
| 64 |
+
"loss": 1.1087,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.16208914903196758,
|
| 69 |
+
"grad_norm": 0.21377676080662794,
|
| 70 |
+
"learning_rate": 1.6216216216216218e-05,
|
| 71 |
+
"loss": 1.0764,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.180099054479964,
|
| 76 |
+
"grad_norm": 0.1794631392027073,
|
| 77 |
+
"learning_rate": 1.801801801801802e-05,
|
| 78 |
+
"loss": 1.0757,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.19810895992796038,
|
| 83 |
+
"grad_norm": 0.19497374657829,
|
| 84 |
+
"learning_rate": 1.981981981981982e-05,
|
| 85 |
+
"loss": 1.0904,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.2161188653759568,
|
| 90 |
+
"grad_norm": 0.21533071811896856,
|
| 91 |
+
"learning_rate": 1.999599507118322e-05,
|
| 92 |
+
"loss": 1.0765,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.23412877082395317,
|
| 97 |
+
"grad_norm": 0.19307788030973838,
|
| 98 |
+
"learning_rate": 1.998215499120161e-05,
|
| 99 |
+
"loss": 1.0702,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.2521386762719496,
|
| 104 |
+
"grad_norm": 0.18836481163407426,
|
| 105 |
+
"learning_rate": 1.99584439990734e-05,
|
| 106 |
+
"loss": 1.0766,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.270148581719946,
|
| 111 |
+
"grad_norm": 0.21511735322364797,
|
| 112 |
+
"learning_rate": 1.992488554155135e-05,
|
| 113 |
+
"loss": 1.0811,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.28815848716794235,
|
| 118 |
+
"grad_norm": 0.195309434953766,
|
| 119 |
+
"learning_rate": 1.9881512803111797e-05,
|
| 120 |
+
"loss": 1.0658,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.30616839261593876,
|
| 125 |
+
"grad_norm": 0.2421941539327756,
|
| 126 |
+
"learning_rate": 1.9828368673139947e-05,
|
| 127 |
+
"loss": 1.0672,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.32417829806393517,
|
| 132 |
+
"grad_norm": 0.1860112417998846,
|
| 133 |
+
"learning_rate": 1.9765505703518494e-05,
|
| 134 |
+
"loss": 1.0611,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.3421882035119316,
|
| 139 |
+
"grad_norm": 0.17818304810152363,
|
| 140 |
+
"learning_rate": 1.9692986056661355e-05,
|
| 141 |
+
"loss": 1.066,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.360198108959928,
|
| 146 |
+
"grad_norm": 0.2397415845301638,
|
| 147 |
+
"learning_rate": 1.961088144404403e-05,
|
| 148 |
+
"loss": 1.0634,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.37820801440792434,
|
| 153 |
+
"grad_norm": 0.18967589505610974,
|
| 154 |
+
"learning_rate": 1.9519273055291266e-05,
|
| 155 |
+
"loss": 1.0613,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.39621791985592075,
|
| 160 |
+
"grad_norm": 0.2130198103194759,
|
| 161 |
+
"learning_rate": 1.941825147789225e-05,
|
| 162 |
+
"loss": 1.0668,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.41422782530391716,
|
| 167 |
+
"grad_norm": 0.18395677854198192,
|
| 168 |
+
"learning_rate": 1.930791660762262e-05,
|
| 169 |
+
"loss": 1.0619,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.4322377307519136,
|
| 174 |
+
"grad_norm": 0.1865388893667488,
|
| 175 |
+
"learning_rate": 1.9188377549761962e-05,
|
| 176 |
+
"loss": 1.0636,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.45024763619990993,
|
| 181 |
+
"grad_norm": 0.18776091331352887,
|
| 182 |
+
"learning_rate": 1.90597525112044e-05,
|
| 183 |
+
"loss": 1.0514,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.46825754164790634,
|
| 188 |
+
"grad_norm": 0.18243911298468143,
|
| 189 |
+
"learning_rate": 1.8922168683569038e-05,
|
| 190 |
+
"loss": 1.0519,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.48626744709590275,
|
| 195 |
+
"grad_norm": 0.18797424109818742,
|
| 196 |
+
"learning_rate": 1.8775762117425777e-05,
|
| 197 |
+
"loss": 1.0544,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.5042773525438992,
|
| 202 |
+
"grad_norm": 0.18906571186079896,
|
| 203 |
+
"learning_rate": 1.8620677587760916e-05,
|
| 204 |
+
"loss": 1.0567,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.5222872579918956,
|
| 209 |
+
"grad_norm": 0.18393014193254023,
|
| 210 |
+
"learning_rate": 1.8457068450815562e-05,
|
| 211 |
+
"loss": 1.0567,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.540297163439892,
|
| 216 |
+
"grad_norm": 0.19328266852176415,
|
| 217 |
+
"learning_rate": 1.8285096492438424e-05,
|
| 218 |
+
"loss": 1.055,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.5583070688878884,
|
| 223 |
+
"grad_norm": 0.18341259531456078,
|
| 224 |
+
"learning_rate": 1.810493176810292e-05,
|
| 225 |
+
"loss": 1.0537,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.5763169743358847,
|
| 230 |
+
"grad_norm": 0.19070534973528358,
|
| 231 |
+
"learning_rate": 1.7916752434746856e-05,
|
| 232 |
+
"loss": 1.0388,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.5943268797838811,
|
| 237 |
+
"grad_norm": 0.18919026633766578,
|
| 238 |
+
"learning_rate": 1.7720744574600865e-05,
|
| 239 |
+
"loss": 1.054,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.6123367852318775,
|
| 244 |
+
"grad_norm": 0.2324366480100927,
|
| 245 |
+
"learning_rate": 1.7517102011179935e-05,
|
| 246 |
+
"loss": 1.0521,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.6303466906798739,
|
| 251 |
+
"grad_norm": 0.18954585112855193,
|
| 252 |
+
"learning_rate": 1.730602611761989e-05,
|
| 253 |
+
"loss": 1.0442,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.6483565961278703,
|
| 258 |
+
"grad_norm": 0.19841527530500794,
|
| 259 |
+
"learning_rate": 1.7087725617548385e-05,
|
| 260 |
+
"loss": 1.0461,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.6663665015758667,
|
| 265 |
+
"grad_norm": 0.18229995357270518,
|
| 266 |
+
"learning_rate": 1.686241637868734e-05,
|
| 267 |
+
"loss": 1.0416,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.6843764070238632,
|
| 272 |
+
"grad_norm": 0.18303392694652232,
|
| 273 |
+
"learning_rate": 1.6630321199390868e-05,
|
| 274 |
+
"loss": 1.0444,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.7023863124718596,
|
| 279 |
+
"grad_norm": 0.18252570663629492,
|
| 280 |
+
"learning_rate": 1.639166958832985e-05,
|
| 281 |
+
"loss": 1.0382,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.720396217919856,
|
| 286 |
+
"grad_norm": 0.1920090778916924,
|
| 287 |
+
"learning_rate": 1.6146697537540926e-05,
|
| 288 |
+
"loss": 1.0451,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.7384061233678523,
|
| 293 |
+
"grad_norm": 0.182014948065573,
|
| 294 |
+
"learning_rate": 1.5895647289064395e-05,
|
| 295 |
+
"loss": 1.0459,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.7564160288158487,
|
| 300 |
+
"grad_norm": 0.18069534485817443,
|
| 301 |
+
"learning_rate": 1.5638767095401778e-05,
|
| 302 |
+
"loss": 1.0414,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.7744259342638451,
|
| 307 |
+
"grad_norm": 0.1970419139073729,
|
| 308 |
+
"learning_rate": 1.5376310974029872e-05,
|
| 309 |
+
"loss": 1.0379,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.7924358397118415,
|
| 314 |
+
"grad_norm": 0.1831244876657377,
|
| 315 |
+
"learning_rate": 1.5108538456214088e-05,
|
| 316 |
+
"loss": 1.038,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.8104457451598379,
|
| 321 |
+
"grad_norm": 0.18766104093935895,
|
| 322 |
+
"learning_rate": 1.4835714330369445e-05,
|
| 323 |
+
"loss": 1.0396,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.8284556506078343,
|
| 328 |
+
"grad_norm": 0.20205755605640713,
|
| 329 |
+
"learning_rate": 1.4558108380223013e-05,
|
| 330 |
+
"loss": 1.0312,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.8464655560558307,
|
| 335 |
+
"grad_norm": 0.1958644336406297,
|
| 336 |
+
"learning_rate": 1.4275995118036694e-05,
|
| 337 |
+
"loss": 1.0333,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.8644754615038271,
|
| 342 |
+
"grad_norm": 0.17729339680552028,
|
| 343 |
+
"learning_rate": 1.3989653513154165e-05,
|
| 344 |
+
"loss": 1.0429,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.8824853669518236,
|
| 349 |
+
"grad_norm": 0.17561113142823978,
|
| 350 |
+
"learning_rate": 1.3699366716140434e-05,
|
| 351 |
+
"loss": 1.0419,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.9004952723998199,
|
| 356 |
+
"grad_norm": 0.18385449880212262,
|
| 357 |
+
"learning_rate": 1.3405421778786738e-05,
|
| 358 |
+
"loss": 1.0482,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.9185051778478163,
|
| 363 |
+
"grad_norm": 0.18110333089233704,
|
| 364 |
+
"learning_rate": 1.3108109370257714e-05,
|
| 365 |
+
"loss": 1.0539,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.9365150832958127,
|
| 370 |
+
"grad_norm": 0.18232534077561582,
|
| 371 |
+
"learning_rate": 1.2807723489661497e-05,
|
| 372 |
+
"loss": 1.0371,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.9545249887438091,
|
| 377 |
+
"grad_norm": 0.17118485590371502,
|
| 378 |
+
"learning_rate": 1.2504561175326986e-05,
|
| 379 |
+
"loss": 1.034,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.9725348941918055,
|
| 384 |
+
"grad_norm": 0.17973311103034112,
|
| 385 |
+
"learning_rate": 1.2198922211075779e-05,
|
| 386 |
+
"loss": 1.0374,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.9905447996398019,
|
| 391 |
+
"grad_norm": 0.18714581161352067,
|
| 392 |
+
"learning_rate": 1.1891108829779166e-05,
|
| 393 |
+
"loss": 1.0317,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.9995497523638001,
|
| 398 |
+
"eval_loss": 1.039684534072876,
|
| 399 |
+
"eval_runtime": 662.247,
|
| 400 |
+
"eval_samples_per_second": 11.876,
|
| 401 |
+
"eval_steps_per_second": 0.743,
|
| 402 |
+
"step": 555
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.0085547050877983,
|
| 406 |
+
"grad_norm": 0.20548749168254346,
|
| 407 |
+
"learning_rate": 1.158142541449341e-05,
|
| 408 |
+
"loss": 1.0109,
|
| 409 |
+
"step": 560
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 1.0265646105357946,
|
| 413 |
+
"grad_norm": 0.201629063500619,
|
| 414 |
+
"learning_rate": 1.1270178197468788e-05,
|
| 415 |
+
"loss": 0.9851,
|
| 416 |
+
"step": 570
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.0445745159837911,
|
| 420 |
+
"grad_norm": 0.19089253248727517,
|
| 421 |
+
"learning_rate": 1.0957674957330043e-05,
|
| 422 |
+
"loss": 0.9736,
|
| 423 |
+
"step": 580
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.0625844214317874,
|
| 427 |
+
"grad_norm": 0.18420339461964708,
|
| 428 |
+
"learning_rate": 1.0644224714727683e-05,
|
| 429 |
+
"loss": 0.9918,
|
| 430 |
+
"step": 590
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.080594326879784,
|
| 434 |
+
"grad_norm": 0.18488819323563785,
|
| 435 |
+
"learning_rate": 1.0330137426761136e-05,
|
| 436 |
+
"loss": 0.9832,
|
| 437 |
+
"step": 600
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.0986042323277803,
|
| 441 |
+
"grad_norm": 0.18816750176239094,
|
| 442 |
+
"learning_rate": 1.0015723680475847e-05,
|
| 443 |
+
"loss": 0.9894,
|
| 444 |
+
"step": 610
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.1166141377757768,
|
| 448 |
+
"grad_norm": 0.17955677324222288,
|
| 449 |
+
"learning_rate": 9.701294385737471e-06,
|
| 450 |
+
"loss": 0.9915,
|
| 451 |
+
"step": 620
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.134624043223773,
|
| 455 |
+
"grad_norm": 0.1860265308958814,
|
| 456 |
+
"learning_rate": 9.38716046778684e-06,
|
| 457 |
+
"loss": 0.9702,
|
| 458 |
+
"step": 630
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.1526339486717694,
|
| 462 |
+
"grad_norm": 0.18388832465015095,
|
| 463 |
+
"learning_rate": 9.073632559779731e-06,
|
| 464 |
+
"loss": 0.981,
|
| 465 |
+
"step": 640
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.170643854119766,
|
| 469 |
+
"grad_norm": 0.1788808037903788,
|
| 470 |
+
"learning_rate": 8.76102069561545e-06,
|
| 471 |
+
"loss": 0.9812,
|
| 472 |
+
"step": 650
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 1.1886537595677622,
|
| 476 |
+
"grad_norm": 0.178574258193573,
|
| 477 |
+
"learning_rate": 8.449634003358022e-06,
|
| 478 |
+
"loss": 0.9836,
|
| 479 |
+
"step": 660
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.2066636650157587,
|
| 483 |
+
"grad_norm": 0.18306275208917874,
|
| 484 |
+
"learning_rate": 8.13978039955308e-06,
|
| 485 |
+
"loss": 0.9831,
|
| 486 |
+
"step": 670
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.224673570463755,
|
| 490 |
+
"grad_norm": 0.18918449761657866,
|
| 491 |
+
"learning_rate": 7.831766284742807e-06,
|
| 492 |
+
"loss": 0.9846,
|
| 493 |
+
"step": 680
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 1.2426834759117515,
|
| 497 |
+
"grad_norm": 0.1855294097858111,
|
| 498 |
+
"learning_rate": 7.525896240479977e-06,
|
| 499 |
+
"loss": 0.9744,
|
| 500 |
+
"step": 690
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.2606933813597478,
|
| 504 |
+
"grad_norm": 0.20185722671737671,
|
| 505 |
+
"learning_rate": 7.222472728140695e-06,
|
| 506 |
+
"loss": 0.9859,
|
| 507 |
+
"step": 700
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 1.2787032868077444,
|
| 511 |
+
"grad_norm": 0.192482680701874,
|
| 512 |
+
"learning_rate": 6.921795789833723e-06,
|
| 513 |
+
"loss": 0.9886,
|
| 514 |
+
"step": 710
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 1.2967131922557407,
|
| 518 |
+
"grad_norm": 0.1795264410436132,
|
| 519 |
+
"learning_rate": 6.624162751702077e-06,
|
| 520 |
+
"loss": 0.9854,
|
| 521 |
+
"step": 720
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.314723097703737,
|
| 525 |
+
"grad_norm": 0.18175034374465715,
|
| 526 |
+
"learning_rate": 6.329867929910347e-06,
|
| 527 |
+
"loss": 0.9836,
|
| 528 |
+
"step": 730
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.3327330031517335,
|
| 532 |
+
"grad_norm": 0.18874834848612046,
|
| 533 |
+
"learning_rate": 6.039202339608432e-06,
|
| 534 |
+
"loss": 0.9792,
|
| 535 |
+
"step": 740
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.3507429085997298,
|
| 539 |
+
"grad_norm": 0.1843992268180646,
|
| 540 |
+
"learning_rate": 5.752453407159521e-06,
|
| 541 |
+
"loss": 0.9794,
|
| 542 |
+
"step": 750
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.3687528140477263,
|
| 546 |
+
"grad_norm": 0.17887298529702766,
|
| 547 |
+
"learning_rate": 5.469904685916861e-06,
|
| 548 |
+
"loss": 0.985,
|
| 549 |
+
"step": 760
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 1.3867627194957226,
|
| 553 |
+
"grad_norm": 0.17428526152643262,
|
| 554 |
+
"learning_rate": 5.1918355758303515e-06,
|
| 555 |
+
"loss": 0.9793,
|
| 556 |
+
"step": 770
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 1.4047726249437191,
|
| 560 |
+
"grad_norm": 0.17579200186681246,
|
| 561 |
+
"learning_rate": 4.918521047160309e-06,
|
| 562 |
+
"loss": 0.9797,
|
| 563 |
+
"step": 780
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.4227825303917154,
|
| 567 |
+
"grad_norm": 0.17482239840906302,
|
| 568 |
+
"learning_rate": 4.650231368571486e-06,
|
| 569 |
+
"loss": 0.967,
|
| 570 |
+
"step": 790
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.440792435839712,
|
| 574 |
+
"grad_norm": 0.1846232978343707,
|
| 575 |
+
"learning_rate": 4.387231839876349e-06,
|
| 576 |
+
"loss": 0.9795,
|
| 577 |
+
"step": 800
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 1.4588023412877082,
|
| 581 |
+
"grad_norm": 0.17722992573590463,
|
| 582 |
+
"learning_rate": 4.1297825296918145e-06,
|
| 583 |
+
"loss": 0.9749,
|
| 584 |
+
"step": 810
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.4768122467357045,
|
| 588 |
+
"grad_norm": 0.18740341744136668,
|
| 589 |
+
"learning_rate": 3.878138018268867e-06,
|
| 590 |
+
"loss": 0.9846,
|
| 591 |
+
"step": 820
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.494822152183701,
|
| 595 |
+
"grad_norm": 0.18222853458564284,
|
| 596 |
+
"learning_rate": 3.6325471457493956e-06,
|
| 597 |
+
"loss": 0.9869,
|
| 598 |
+
"step": 830
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 1.5128320576316976,
|
| 602 |
+
"grad_norm": 0.17604705966690576,
|
| 603 |
+
"learning_rate": 3.3932527660991877e-06,
|
| 604 |
+
"loss": 0.9791,
|
| 605 |
+
"step": 840
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.530841963079694,
|
| 609 |
+
"grad_norm": 0.17129760493794519,
|
| 610 |
+
"learning_rate": 3.160491506960344e-06,
|
| 611 |
+
"loss": 0.9803,
|
| 612 |
+
"step": 850
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 1.5488518685276902,
|
| 616 |
+
"grad_norm": 0.17743331668980605,
|
| 617 |
+
"learning_rate": 2.934493535660677e-06,
|
| 618 |
+
"loss": 0.9849,
|
| 619 |
+
"step": 860
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 1.5668617739756865,
|
| 623 |
+
"grad_norm": 0.17206764149200166,
|
| 624 |
+
"learning_rate": 2.715482331611393e-06,
|
| 625 |
+
"loss": 0.9799,
|
| 626 |
+
"step": 870
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.584871679423683,
|
| 630 |
+
"grad_norm": 0.17401212500860314,
|
| 631 |
+
"learning_rate": 2.5036744653181755e-06,
|
| 632 |
+
"loss": 0.977,
|
| 633 |
+
"step": 880
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 1.6028815848716795,
|
| 637 |
+
"grad_norm": 0.1864847419394007,
|
| 638 |
+
"learning_rate": 2.29927938422419e-06,
|
| 639 |
+
"loss": 0.9824,
|
| 640 |
+
"step": 890
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 1.6208914903196758,
|
| 644 |
+
"grad_norm": 0.1794444567972596,
|
| 645 |
+
"learning_rate": 2.102499205596743e-06,
|
| 646 |
+
"loss": 0.9711,
|
| 647 |
+
"step": 900
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 1.6389013957676721,
|
| 651 |
+
"grad_norm": 0.17867218012908836,
|
| 652 |
+
"learning_rate": 1.913528516662452e-06,
|
| 653 |
+
"loss": 0.9904,
|
| 654 |
+
"step": 910
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 1.6569113012156687,
|
| 658 |
+
"grad_norm": 0.17632077595030837,
|
| 659 |
+
"learning_rate": 1.7325541821885383e-06,
|
| 660 |
+
"loss": 0.9846,
|
| 661 |
+
"step": 920
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.6749212066636652,
|
| 665 |
+
"grad_norm": 0.1749399044308501,
|
| 666 |
+
"learning_rate": 1.5597551597004968e-06,
|
| 667 |
+
"loss": 0.9759,
|
| 668 |
+
"step": 930
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.6929311121116615,
|
| 672 |
+
"grad_norm": 0.1765753424915534,
|
| 673 |
+
"learning_rate": 1.3953023225189243e-06,
|
| 674 |
+
"loss": 0.9947,
|
| 675 |
+
"step": 940
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.7109410175596578,
|
| 679 |
+
"grad_norm": 0.17249203862535814,
|
| 680 |
+
"learning_rate": 1.23935829079042e-06,
|
| 681 |
+
"loss": 0.987,
|
| 682 |
+
"step": 950
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.728950923007654,
|
| 686 |
+
"grad_norm": 0.17083864764712672,
|
| 687 |
+
"learning_rate": 1.0920772706797166e-06,
|
| 688 |
+
"loss": 0.9655,
|
| 689 |
+
"step": 960
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 1.7469608284556506,
|
| 693 |
+
"grad_norm": 0.17684409732386205,
|
| 694 |
+
"learning_rate": 9.536049018820193e-07,
|
| 695 |
+
"loss": 0.9741,
|
| 696 |
+
"step": 970
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.7649707339036471,
|
| 700 |
+
"grad_norm": 0.17089785327384419,
|
| 701 |
+
"learning_rate": 8.240781136063348e-07,
|
| 702 |
+
"loss": 0.9699,
|
| 703 |
+
"step": 980
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.7829806393516434,
|
| 707 |
+
"grad_norm": 0.17526364109022735,
|
| 708 |
+
"learning_rate": 7.03624989172228e-07,
|
| 709 |
+
"loss": 0.9884,
|
| 710 |
+
"step": 990
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.8009905447996397,
|
| 714 |
+
"grad_norm": 0.17477084621817432,
|
| 715 |
+
"learning_rate": 5.923646393538907e-07,
|
| 716 |
+
"loss": 0.9762,
|
| 717 |
+
"step": 1000
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 1.8190004502476362,
|
| 721 |
+
"grad_norm": 0.17586999782551316,
|
| 722 |
+
"learning_rate": 4.904070845967467e-07,
|
| 723 |
+
"loss": 0.9763,
|
| 724 |
+
"step": 1010
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 1.8370103556956328,
|
| 728 |
+
"grad_norm": 0.17351730726317385,
|
| 729 |
+
"learning_rate": 3.97853146223105e-07,
|
| 730 |
+
"loss": 0.9759,
|
| 731 |
+
"step": 1020
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 1.855020261143629,
|
| 735 |
+
"grad_norm": 0.17245529759955128,
|
| 736 |
+
"learning_rate": 3.1479434673440167e-07,
|
| 737 |
+
"loss": 0.9762,
|
| 738 |
+
"step": 1030
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.8730301665916254,
|
| 742 |
+
"grad_norm": 0.17074305784570018,
|
| 743 |
+
"learning_rate": 2.4131281930864006e-07,
|
| 744 |
+
"loss": 0.9778,
|
| 745 |
+
"step": 1040
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 1.8910400720396217,
|
| 749 |
+
"grad_norm": 0.1699923858478813,
|
| 750 |
+
"learning_rate": 1.7748122658251877e-07,
|
| 751 |
+
"loss": 0.9898,
|
| 752 |
+
"step": 1050
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.9090499774876182,
|
| 756 |
+
"grad_norm": 0.17560912690299982,
|
| 757 |
+
"learning_rate": 1.2336268879856728e-07,
|
| 758 |
+
"loss": 0.9764,
|
| 759 |
+
"step": 1060
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 1.9270598829356147,
|
| 763 |
+
"grad_norm": 0.17172727854066605,
|
| 764 |
+
"learning_rate": 7.901072138831512e-08,
|
| 765 |
+
"loss": 0.9908,
|
| 766 |
+
"step": 1070
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 1.945069788383611,
|
| 770 |
+
"grad_norm": 0.17416282443666103,
|
| 771 |
+
"learning_rate": 4.44691820532539e-08,
|
| 772 |
+
"loss": 0.9765,
|
| 773 |
+
"step": 1080
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.9630796938316073,
|
| 777 |
+
"grad_norm": 0.1719348511857924,
|
| 778 |
+
"learning_rate": 1.977222739588891e-08,
|
| 779 |
+
"loss": 0.9784,
|
| 780 |
+
"step": 1090
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.9810895992796038,
|
| 784 |
+
"grad_norm": 0.1744398791007269,
|
| 785 |
+
"learning_rate": 4.944279143784814e-09,
|
| 786 |
+
"loss": 0.9841,
|
| 787 |
+
"step": 1100
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.9990995047276003,
|
| 791 |
+
"grad_norm": 0.17567978804671192,
|
| 792 |
+
"learning_rate": 0.0,
|
| 793 |
+
"loss": 0.9698,
|
| 794 |
+
"step": 1110
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.9990995047276003,
|
| 798 |
+
"eval_loss": 1.0319925546646118,
|
| 799 |
+
"eval_runtime": 659.9931,
|
| 800 |
+
"eval_samples_per_second": 11.917,
|
| 801 |
+
"eval_steps_per_second": 0.745,
|
| 802 |
+
"step": 1110
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 1.9990995047276003,
|
| 806 |
+
"step": 1110,
|
| 807 |
+
"total_flos": 929619498762240.0,
|
| 808 |
+
"train_loss": 1.0262996888375497,
|
| 809 |
+
"train_runtime": 54210.2289,
|
| 810 |
+
"train_samples_per_second": 2.622,
|
| 811 |
+
"train_steps_per_second": 0.02
|
| 812 |
+
}
|
| 813 |
+
],
|
| 814 |
+
"logging_steps": 10,
|
| 815 |
+
"max_steps": 1110,
|
| 816 |
+
"num_input_tokens_seen": 0,
|
| 817 |
+
"num_train_epochs": 2,
|
| 818 |
+
"save_steps": 100,
|
| 819 |
+
"stateful_callbacks": {
|
| 820 |
+
"TrainerControl": {
|
| 821 |
+
"args": {
|
| 822 |
+
"should_epoch_stop": false,
|
| 823 |
+
"should_evaluate": false,
|
| 824 |
+
"should_log": false,
|
| 825 |
+
"should_save": true,
|
| 826 |
+
"should_training_stop": true
|
| 827 |
+
},
|
| 828 |
+
"attributes": {}
|
| 829 |
+
}
|
| 830 |
+
},
|
| 831 |
+
"total_flos": 929619498762240.0,
|
| 832 |
+
"train_batch_size": 1,
|
| 833 |
+
"trial_name": null,
|
| 834 |
+
"trial_params": null
|
| 835 |
+
}
|