Model save
Browse files- README.md +66 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +995 -0
README.md
ADDED
|
@@ -0,0 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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-Instruct-v0.3
|
| 9 |
+
model-index:
|
| 10 |
+
- name: Mistral-7B-Instruct-v0.3-nomiracl-sft
|
| 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-7B-Instruct-v0.3-nomiracl-sft
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 1.4019
|
| 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: 3e-06
|
| 41 |
+
- train_batch_size: 8
|
| 42 |
+
- eval_batch_size: 8
|
| 43 |
+
- seed: 42
|
| 44 |
+
- distributed_type: multi-GPU
|
| 45 |
+
- num_devices: 4
|
| 46 |
+
- total_train_batch_size: 32
|
| 47 |
+
- total_eval_batch_size: 32
|
| 48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 49 |
+
- lr_scheduler_type: cosine
|
| 50 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 51 |
+
- num_epochs: 1
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 56 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 57 |
+
| 1.4364 | 1.0 | 671 | 1.4019 |
|
| 58 |
+
|
| 59 |
+
|
| 60 |
+
### Framework versions
|
| 61 |
+
|
| 62 |
+
- PEFT 0.7.1
|
| 63 |
+
- Transformers 4.41.2
|
| 64 |
+
- Pytorch 2.3.0+cu121
|
| 65 |
+
- Datasets 2.20.0
|
| 66 |
+
- Tokenizers 0.19.1
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 335605144
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c03ff8f1418d08f977e5d22b53799262e06d27ab79cf28a25bbb2a8fa44057f
|
| 3 |
size 335605144
|
all_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"total_flos": 2236028102377472.0,
|
| 4 |
+
"train_loss": 1.4386844755817987,
|
| 5 |
+
"train_runtime": 17062.4084,
|
| 6 |
+
"train_samples": 21471,
|
| 7 |
+
"train_samples_per_second": 1.258,
|
| 8 |
+
"train_steps_per_second": 0.039
|
| 9 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"total_flos": 2236028102377472.0,
|
| 4 |
+
"train_loss": 1.4386844755817987,
|
| 5 |
+
"train_runtime": 17062.4084,
|
| 6 |
+
"train_samples": 21471,
|
| 7 |
+
"train_samples_per_second": 1.258,
|
| 8 |
+
"train_steps_per_second": 0.039
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,995 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 671,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0014903129657228018,
|
| 13 |
+
"grad_norm": 0.7207538217956673,
|
| 14 |
+
"learning_rate": 4.411764705882353e-08,
|
| 15 |
+
"loss": 1.6077,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.007451564828614009,
|
| 20 |
+
"grad_norm": 0.65849854443806,
|
| 21 |
+
"learning_rate": 2.2058823529411765e-07,
|
| 22 |
+
"loss": 1.5945,
|
| 23 |
+
"step": 5
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.014903129657228018,
|
| 27 |
+
"grad_norm": 0.6800875831730971,
|
| 28 |
+
"learning_rate": 4.411764705882353e-07,
|
| 29 |
+
"loss": 1.6315,
|
| 30 |
+
"step": 10
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.022354694485842028,
|
| 34 |
+
"grad_norm": 0.8644630471455123,
|
| 35 |
+
"learning_rate": 6.61764705882353e-07,
|
| 36 |
+
"loss": 1.6271,
|
| 37 |
+
"step": 15
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.029806259314456036,
|
| 41 |
+
"grad_norm": 0.7771872952949634,
|
| 42 |
+
"learning_rate": 8.823529411764706e-07,
|
| 43 |
+
"loss": 1.5795,
|
| 44 |
+
"step": 20
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.037257824143070044,
|
| 48 |
+
"grad_norm": 0.7397975175907138,
|
| 49 |
+
"learning_rate": 1.1029411764705884e-06,
|
| 50 |
+
"loss": 1.6225,
|
| 51 |
+
"step": 25
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.044709388971684055,
|
| 55 |
+
"grad_norm": 0.7702121293753343,
|
| 56 |
+
"learning_rate": 1.323529411764706e-06,
|
| 57 |
+
"loss": 1.6526,
|
| 58 |
+
"step": 30
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.05216095380029806,
|
| 62 |
+
"grad_norm": 0.6644067274265962,
|
| 63 |
+
"learning_rate": 1.5441176470588234e-06,
|
| 64 |
+
"loss": 1.6006,
|
| 65 |
+
"step": 35
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.05961251862891207,
|
| 69 |
+
"grad_norm": 0.6017633448350802,
|
| 70 |
+
"learning_rate": 1.7647058823529412e-06,
|
| 71 |
+
"loss": 1.6434,
|
| 72 |
+
"step": 40
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.06706408345752608,
|
| 76 |
+
"grad_norm": 0.4509127973744261,
|
| 77 |
+
"learning_rate": 1.9852941176470586e-06,
|
| 78 |
+
"loss": 1.5392,
|
| 79 |
+
"step": 45
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.07451564828614009,
|
| 83 |
+
"grad_norm": 0.4610064447084038,
|
| 84 |
+
"learning_rate": 2.2058823529411767e-06,
|
| 85 |
+
"loss": 1.589,
|
| 86 |
+
"step": 50
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.08196721311475409,
|
| 90 |
+
"grad_norm": 0.35955958459549675,
|
| 91 |
+
"learning_rate": 2.4264705882352943e-06,
|
| 92 |
+
"loss": 1.5594,
|
| 93 |
+
"step": 55
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.08941877794336811,
|
| 97 |
+
"grad_norm": 0.3478335776850152,
|
| 98 |
+
"learning_rate": 2.647058823529412e-06,
|
| 99 |
+
"loss": 1.5798,
|
| 100 |
+
"step": 60
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.09687034277198212,
|
| 104 |
+
"grad_norm": 0.3527200373964567,
|
| 105 |
+
"learning_rate": 2.8676470588235296e-06,
|
| 106 |
+
"loss": 1.5693,
|
| 107 |
+
"step": 65
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.10432190760059612,
|
| 111 |
+
"grad_norm": 0.29600438876672497,
|
| 112 |
+
"learning_rate": 2.999918570372821e-06,
|
| 113 |
+
"loss": 1.5045,
|
| 114 |
+
"step": 70
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.11177347242921014,
|
| 118 |
+
"grad_norm": 0.2900544302757877,
|
| 119 |
+
"learning_rate": 2.9990025885979037e-06,
|
| 120 |
+
"loss": 1.483,
|
| 121 |
+
"step": 75
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.11922503725782414,
|
| 125 |
+
"grad_norm": 0.2408233475597495,
|
| 126 |
+
"learning_rate": 2.997069461623824e-06,
|
| 127 |
+
"loss": 1.5672,
|
| 128 |
+
"step": 80
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.12667660208643816,
|
| 132 |
+
"grad_norm": 0.28176854976259386,
|
| 133 |
+
"learning_rate": 2.9941205011700118e-06,
|
| 134 |
+
"loss": 1.5082,
|
| 135 |
+
"step": 85
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.13412816691505217,
|
| 139 |
+
"grad_norm": 0.19913384731707087,
|
| 140 |
+
"learning_rate": 2.990157708247667e-06,
|
| 141 |
+
"loss": 1.4819,
|
| 142 |
+
"step": 90
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.14157973174366617,
|
| 146 |
+
"grad_norm": 0.21083590352306433,
|
| 147 |
+
"learning_rate": 2.9851837718019762e-06,
|
| 148 |
+
"loss": 1.5531,
|
| 149 |
+
"step": 95
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.14903129657228018,
|
| 153 |
+
"grad_norm": 0.20730699550159845,
|
| 154 |
+
"learning_rate": 2.9792020668875367e-06,
|
| 155 |
+
"loss": 1.481,
|
| 156 |
+
"step": 100
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.15648286140089418,
|
| 160 |
+
"grad_norm": 0.18165412005960324,
|
| 161 |
+
"learning_rate": 2.9722166523782167e-06,
|
| 162 |
+
"loss": 1.4844,
|
| 163 |
+
"step": 105
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.16393442622950818,
|
| 167 |
+
"grad_norm": 0.15838156755040073,
|
| 168 |
+
"learning_rate": 2.964232268213018e-06,
|
| 169 |
+
"loss": 1.4455,
|
| 170 |
+
"step": 110
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.17138599105812222,
|
| 174 |
+
"grad_norm": 0.16340737391300794,
|
| 175 |
+
"learning_rate": 2.955254332179797e-06,
|
| 176 |
+
"loss": 1.469,
|
| 177 |
+
"step": 115
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.17883755588673622,
|
| 181 |
+
"grad_norm": 0.14759052394480532,
|
| 182 |
+
"learning_rate": 2.9452889362390366e-06,
|
| 183 |
+
"loss": 1.5597,
|
| 184 |
+
"step": 120
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.18628912071535023,
|
| 188 |
+
"grad_norm": 0.12914782899327282,
|
| 189 |
+
"learning_rate": 2.9343428423901614e-06,
|
| 190 |
+
"loss": 1.4765,
|
| 191 |
+
"step": 125
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.19374068554396423,
|
| 195 |
+
"grad_norm": 0.12460225982681429,
|
| 196 |
+
"learning_rate": 2.9224234780831905e-06,
|
| 197 |
+
"loss": 1.4656,
|
| 198 |
+
"step": 130
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.20119225037257824,
|
| 202 |
+
"grad_norm": 0.14217631629657101,
|
| 203 |
+
"learning_rate": 2.9095389311788626e-06,
|
| 204 |
+
"loss": 1.4872,
|
| 205 |
+
"step": 135
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.20864381520119224,
|
| 209 |
+
"grad_norm": 0.1272863323148308,
|
| 210 |
+
"learning_rate": 2.8956979444606303e-06,
|
| 211 |
+
"loss": 1.4314,
|
| 212 |
+
"step": 140
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.21609538002980627,
|
| 216 |
+
"grad_norm": 0.11983511963861297,
|
| 217 |
+
"learning_rate": 2.8809099097022624e-06,
|
| 218 |
+
"loss": 1.4734,
|
| 219 |
+
"step": 145
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.22354694485842028,
|
| 223 |
+
"grad_norm": 0.12007606131316517,
|
| 224 |
+
"learning_rate": 2.8651848612950768e-06,
|
| 225 |
+
"loss": 1.4997,
|
| 226 |
+
"step": 150
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.23099850968703428,
|
| 230 |
+
"grad_norm": 0.11593831929818996,
|
| 231 |
+
"learning_rate": 2.848533469439122e-06,
|
| 232 |
+
"loss": 1.3879,
|
| 233 |
+
"step": 155
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.23845007451564829,
|
| 237 |
+
"grad_norm": 0.11598915986268504,
|
| 238 |
+
"learning_rate": 2.8309670329029358e-06,
|
| 239 |
+
"loss": 1.4192,
|
| 240 |
+
"step": 160
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.2459016393442623,
|
| 244 |
+
"grad_norm": 0.11190528057252458,
|
| 245 |
+
"learning_rate": 2.8124974713567872e-06,
|
| 246 |
+
"loss": 1.452,
|
| 247 |
+
"step": 165
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.2533532041728763,
|
| 251 |
+
"grad_norm": 0.1203691003615664,
|
| 252 |
+
"learning_rate": 2.79313731728461e-06,
|
| 253 |
+
"loss": 1.4819,
|
| 254 |
+
"step": 170
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.2608047690014903,
|
| 258 |
+
"grad_norm": 0.10952238143478435,
|
| 259 |
+
"learning_rate": 2.772899707480108e-06,
|
| 260 |
+
"loss": 1.4173,
|
| 261 |
+
"step": 175
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.26825633383010433,
|
| 265 |
+
"grad_norm": 0.10685505615273189,
|
| 266 |
+
"learning_rate": 2.7517983741328146e-06,
|
| 267 |
+
"loss": 1.4078,
|
| 268 |
+
"step": 180
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.2757078986587183,
|
| 272 |
+
"grad_norm": 0.11464827031091669,
|
| 273 |
+
"learning_rate": 2.729847635510137e-06,
|
| 274 |
+
"loss": 1.5007,
|
| 275 |
+
"step": 185
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.28315946348733234,
|
| 279 |
+
"grad_norm": 0.11122715995599067,
|
| 280 |
+
"learning_rate": 2.70706238624173e-06,
|
| 281 |
+
"loss": 1.4541,
|
| 282 |
+
"step": 190
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.2906110283159464,
|
| 286 |
+
"grad_norm": 0.10752842550767219,
|
| 287 |
+
"learning_rate": 2.6834580872127733e-06,
|
| 288 |
+
"loss": 1.4129,
|
| 289 |
+
"step": 195
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.29806259314456035,
|
| 293 |
+
"grad_norm": 0.11490358820200401,
|
| 294 |
+
"learning_rate": 2.6590507550730175e-06,
|
| 295 |
+
"loss": 1.3986,
|
| 296 |
+
"step": 200
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.3055141579731744,
|
| 300 |
+
"grad_norm": 0.10706266255477938,
|
| 301 |
+
"learning_rate": 2.6338569513687182e-06,
|
| 302 |
+
"loss": 1.4404,
|
| 303 |
+
"step": 205
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.31296572280178836,
|
| 307 |
+
"grad_norm": 0.1069097244298094,
|
| 308 |
+
"learning_rate": 2.6078937713048357e-06,
|
| 309 |
+
"loss": 1.3969,
|
| 310 |
+
"step": 210
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.3204172876304024,
|
| 314 |
+
"grad_norm": 0.1160964307611302,
|
| 315 |
+
"learning_rate": 2.581178832145114e-06,
|
| 316 |
+
"loss": 1.4672,
|
| 317 |
+
"step": 215
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.32786885245901637,
|
| 321 |
+
"grad_norm": 0.1097725420424586,
|
| 322 |
+
"learning_rate": 2.553730261257924e-06,
|
| 323 |
+
"loss": 1.387,
|
| 324 |
+
"step": 220
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.3353204172876304,
|
| 328 |
+
"grad_norm": 0.10407180190964474,
|
| 329 |
+
"learning_rate": 2.525566683815973e-06,
|
| 330 |
+
"loss": 1.3973,
|
| 331 |
+
"step": 225
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.34277198211624443,
|
| 335 |
+
"grad_norm": 0.11536030542488797,
|
| 336 |
+
"learning_rate": 2.496707210158233e-06,
|
| 337 |
+
"loss": 1.4624,
|
| 338 |
+
"step": 230
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.3502235469448584,
|
| 342 |
+
"grad_norm": 0.10982670956660034,
|
| 343 |
+
"learning_rate": 2.4671714228226542e-06,
|
| 344 |
+
"loss": 1.4078,
|
| 345 |
+
"step": 235
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.35767511177347244,
|
| 349 |
+
"grad_norm": 0.10587771136409477,
|
| 350 |
+
"learning_rate": 2.4369793632584796e-06,
|
| 351 |
+
"loss": 1.4285,
|
| 352 |
+
"step": 240
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.3651266766020864,
|
| 356 |
+
"grad_norm": 0.1208719398977082,
|
| 357 |
+
"learning_rate": 2.4061515182271535e-06,
|
| 358 |
+
"loss": 1.4726,
|
| 359 |
+
"step": 245
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.37257824143070045,
|
| 363 |
+
"grad_norm": 0.10511587252373167,
|
| 364 |
+
"learning_rate": 2.3747088059010745e-06,
|
| 365 |
+
"loss": 1.3548,
|
| 366 |
+
"step": 250
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.38002980625931443,
|
| 370 |
+
"grad_norm": 0.10957225921751226,
|
| 371 |
+
"learning_rate": 2.342672561669611e-06,
|
| 372 |
+
"loss": 1.4678,
|
| 373 |
+
"step": 255
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.38748137108792846,
|
| 377 |
+
"grad_norm": 0.10693917993857549,
|
| 378 |
+
"learning_rate": 2.3100645236620133e-06,
|
| 379 |
+
"loss": 1.3974,
|
| 380 |
+
"step": 260
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.3949329359165425,
|
| 384 |
+
"grad_norm": 0.11581766322136706,
|
| 385 |
+
"learning_rate": 2.276906817997054e-06,
|
| 386 |
+
"loss": 1.4098,
|
| 387 |
+
"step": 265
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.40238450074515647,
|
| 391 |
+
"grad_norm": 0.10904876454822796,
|
| 392 |
+
"learning_rate": 2.2432219437693897e-06,
|
| 393 |
+
"loss": 1.4056,
|
| 394 |
+
"step": 270
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.4098360655737705,
|
| 398 |
+
"grad_norm": 0.10831229242143947,
|
| 399 |
+
"learning_rate": 2.209032757782848e-06,
|
| 400 |
+
"loss": 1.3776,
|
| 401 |
+
"step": 275
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.4172876304023845,
|
| 405 |
+
"grad_norm": 0.11150103499322561,
|
| 406 |
+
"learning_rate": 2.174362459040989e-06,
|
| 407 |
+
"loss": 1.4279,
|
| 408 |
+
"step": 280
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.4247391952309985,
|
| 412 |
+
"grad_norm": 0.11628953499023266,
|
| 413 |
+
"learning_rate": 2.139234573005468e-06,
|
| 414 |
+
"loss": 1.4328,
|
| 415 |
+
"step": 285
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.43219076005961254,
|
| 419 |
+
"grad_norm": 0.1154264307480958,
|
| 420 |
+
"learning_rate": 2.1036729356328806e-06,
|
| 421 |
+
"loss": 1.4109,
|
| 422 |
+
"step": 290
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.4396423248882265,
|
| 426 |
+
"grad_norm": 0.1060574220828385,
|
| 427 |
+
"learning_rate": 2.06770167720092e-06,
|
| 428 |
+
"loss": 1.3781,
|
| 429 |
+
"step": 295
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.44709388971684055,
|
| 433 |
+
"grad_norm": 0.1053110442104737,
|
| 434 |
+
"learning_rate": 2.0313452059348308e-06,
|
| 435 |
+
"loss": 1.4444,
|
| 436 |
+
"step": 300
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.45454545454545453,
|
| 440 |
+
"grad_norm": 0.10693306802856366,
|
| 441 |
+
"learning_rate": 1.99462819144525e-06,
|
| 442 |
+
"loss": 1.4359,
|
| 443 |
+
"step": 305
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.46199701937406856,
|
| 447 |
+
"grad_norm": 0.11652642471380918,
|
| 448 |
+
"learning_rate": 1.957575547988697e-06,
|
| 449 |
+
"loss": 1.4028,
|
| 450 |
+
"step": 310
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.46944858420268254,
|
| 454 |
+
"grad_norm": 0.11274466501498542,
|
| 455 |
+
"learning_rate": 1.9202124175620545e-06,
|
| 456 |
+
"loss": 1.3804,
|
| 457 |
+
"step": 315
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.47690014903129657,
|
| 461 |
+
"grad_norm": 0.10861122941192258,
|
| 462 |
+
"learning_rate": 1.8825641528425148e-06,
|
| 463 |
+
"loss": 1.3951,
|
| 464 |
+
"step": 320
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.4843517138599106,
|
| 468 |
+
"grad_norm": 0.11658514112563267,
|
| 469 |
+
"learning_rate": 1.8446562999845715e-06,
|
| 470 |
+
"loss": 1.4377,
|
| 471 |
+
"step": 325
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.4918032786885246,
|
| 475 |
+
"grad_norm": 0.11414477697164481,
|
| 476 |
+
"learning_rate": 1.8065145812857305e-06,
|
| 477 |
+
"loss": 1.3746,
|
| 478 |
+
"step": 330
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.4992548435171386,
|
| 482 |
+
"grad_norm": 0.10815121580373825,
|
| 483 |
+
"learning_rate": 1.7681648777326943e-06,
|
| 484 |
+
"loss": 1.4422,
|
| 485 |
+
"step": 335
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.5067064083457526,
|
| 489 |
+
"grad_norm": 0.11037495106798235,
|
| 490 |
+
"learning_rate": 1.7296332114398704e-06,
|
| 491 |
+
"loss": 1.3666,
|
| 492 |
+
"step": 340
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.5141579731743666,
|
| 496 |
+
"grad_norm": 0.11676408141846001,
|
| 497 |
+
"learning_rate": 1.6909457279921186e-06,
|
| 498 |
+
"loss": 1.3734,
|
| 499 |
+
"step": 345
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.5216095380029806,
|
| 503 |
+
"grad_norm": 0.1113201753442444,
|
| 504 |
+
"learning_rate": 1.6521286787037178e-06,
|
| 505 |
+
"loss": 1.4135,
|
| 506 |
+
"step": 350
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.5290611028315947,
|
| 510 |
+
"grad_norm": 0.10247556885521109,
|
| 511 |
+
"learning_rate": 1.613208402805586e-06,
|
| 512 |
+
"loss": 1.4152,
|
| 513 |
+
"step": 355
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.5365126676602087,
|
| 517 |
+
"grad_norm": 0.10445203605746987,
|
| 518 |
+
"learning_rate": 1.5742113095728515e-06,
|
| 519 |
+
"loss": 1.4376,
|
| 520 |
+
"step": 360
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.5439642324888226,
|
| 524 |
+
"grad_norm": 0.10879333034477139,
|
| 525 |
+
"learning_rate": 1.535163860404891e-06,
|
| 526 |
+
"loss": 1.455,
|
| 527 |
+
"step": 365
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.5514157973174366,
|
| 531 |
+
"grad_norm": 0.12869015642921014,
|
| 532 |
+
"learning_rate": 1.4960925508699984e-06,
|
| 533 |
+
"loss": 1.3821,
|
| 534 |
+
"step": 370
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.5588673621460507,
|
| 538 |
+
"grad_norm": 0.10954384701245683,
|
| 539 |
+
"learning_rate": 1.4570238927268746e-06,
|
| 540 |
+
"loss": 1.4397,
|
| 541 |
+
"step": 375
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.5663189269746647,
|
| 545 |
+
"grad_norm": 0.10796984723976862,
|
| 546 |
+
"learning_rate": 1.4179843959351213e-06,
|
| 547 |
+
"loss": 1.4644,
|
| 548 |
+
"step": 380
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.5737704918032787,
|
| 552 |
+
"grad_norm": 0.11517040756519294,
|
| 553 |
+
"learning_rate": 1.3790005506669643e-06,
|
| 554 |
+
"loss": 1.4344,
|
| 555 |
+
"step": 385
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.5812220566318927,
|
| 559 |
+
"grad_norm": 0.10926990342446409,
|
| 560 |
+
"learning_rate": 1.340098809332401e-06,
|
| 561 |
+
"loss": 1.4211,
|
| 562 |
+
"step": 390
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.5886736214605067,
|
| 566 |
+
"grad_norm": 0.1115330774443057,
|
| 567 |
+
"learning_rate": 1.3013055686299683e-06,
|
| 568 |
+
"loss": 1.3726,
|
| 569 |
+
"step": 395
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.5961251862891207,
|
| 573 |
+
"grad_norm": 0.10589693766514106,
|
| 574 |
+
"learning_rate": 1.2626471516353158e-06,
|
| 575 |
+
"loss": 1.4593,
|
| 576 |
+
"step": 400
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.6035767511177347,
|
| 580 |
+
"grad_norm": 0.11370583262546306,
|
| 581 |
+
"learning_rate": 1.22414978993974e-06,
|
| 582 |
+
"loss": 1.3516,
|
| 583 |
+
"step": 405
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.6110283159463488,
|
| 587 |
+
"grad_norm": 0.12504328760615357,
|
| 588 |
+
"learning_rate": 1.1858396058507837e-06,
|
| 589 |
+
"loss": 1.5039,
|
| 590 |
+
"step": 410
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.6184798807749627,
|
| 594 |
+
"grad_norm": 0.11743701858841901,
|
| 595 |
+
"learning_rate": 1.1477425946670016e-06,
|
| 596 |
+
"loss": 1.413,
|
| 597 |
+
"step": 415
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.6259314456035767,
|
| 601 |
+
"grad_norm": 0.11045498569848493,
|
| 602 |
+
"learning_rate": 1.1098846070389027e-06,
|
| 603 |
+
"loss": 1.3941,
|
| 604 |
+
"step": 420
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.6333830104321908,
|
| 608 |
+
"grad_norm": 0.12144356998222744,
|
| 609 |
+
"learning_rate": 1.0722913314280395e-06,
|
| 610 |
+
"loss": 1.4172,
|
| 611 |
+
"step": 425
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.6408345752608048,
|
| 615 |
+
"grad_norm": 0.10365373765687404,
|
| 616 |
+
"learning_rate": 1.0349882766761573e-06,
|
| 617 |
+
"loss": 1.3337,
|
| 618 |
+
"step": 430
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.6482861400894188,
|
| 622 |
+
"grad_norm": 0.10647853031859235,
|
| 623 |
+
"learning_rate": 9.980007546962206e-07,
|
| 624 |
+
"loss": 1.3959,
|
| 625 |
+
"step": 435
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.6557377049180327,
|
| 629 |
+
"grad_norm": 0.10731308955650487,
|
| 630 |
+
"learning_rate": 9.613538632970634e-07,
|
| 631 |
+
"loss": 1.4023,
|
| 632 |
+
"step": 440
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.6631892697466468,
|
| 636 |
+
"grad_norm": 0.10450909600455241,
|
| 637 |
+
"learning_rate": 9.250724691533223e-07,
|
| 638 |
+
"loss": 1.3872,
|
| 639 |
+
"step": 445
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.6706408345752608,
|
| 643 |
+
"grad_norm": 0.1041016914874247,
|
| 644 |
+
"learning_rate": 8.891811909322058e-07,
|
| 645 |
+
"loss": 1.4465,
|
| 646 |
+
"step": 450
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.6780923994038748,
|
| 650 |
+
"grad_norm": 0.120460469459905,
|
| 651 |
+
"learning_rate": 8.537043825885445e-07,
|
| 652 |
+
"loss": 1.4501,
|
| 653 |
+
"step": 455
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.6855439642324889,
|
| 657 |
+
"grad_norm": 0.1136665297817651,
|
| 658 |
+
"learning_rate": 8.186661168394658e-07,
|
| 659 |
+
"loss": 1.3963,
|
| 660 |
+
"step": 460
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.6929955290611028,
|
| 664 |
+
"grad_norm": 0.11135508784322877,
|
| 665 |
+
"learning_rate": 7.840901688299e-07,
|
| 666 |
+
"loss": 1.4571,
|
| 667 |
+
"step": 465
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.7004470938897168,
|
| 671 |
+
"grad_norm": 0.09679813596282592,
|
| 672 |
+
"learning_rate": 7.500000000000003e-07,
|
| 673 |
+
"loss": 1.3349,
|
| 674 |
+
"step": 470
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.7078986587183308,
|
| 678 |
+
"grad_norm": 0.11033066007905798,
|
| 679 |
+
"learning_rate": 7.16418742165435e-07,
|
| 680 |
+
"loss": 1.4129,
|
| 681 |
+
"step": 475
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.7153502235469449,
|
| 685 |
+
"grad_norm": 0.10642022161621655,
|
| 686 |
+
"learning_rate": 6.83369181821336e-07,
|
| 687 |
+
"loss": 1.4064,
|
| 688 |
+
"step": 480
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.7228017883755589,
|
| 692 |
+
"grad_norm": 0.11256587052450513,
|
| 693 |
+
"learning_rate": 6.508737446805704e-07,
|
| 694 |
+
"loss": 1.4562,
|
| 695 |
+
"step": 485
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.7302533532041728,
|
| 699 |
+
"grad_norm": 0.11453839206549224,
|
| 700 |
+
"learning_rate": 6.189544804568165e-07,
|
| 701 |
+
"loss": 1.375,
|
| 702 |
+
"step": 490
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.7377049180327869,
|
| 706 |
+
"grad_norm": 0.10923398824173401,
|
| 707 |
+
"learning_rate": 5.876330479027766e-07,
|
| 708 |
+
"loss": 1.3996,
|
| 709 |
+
"step": 495
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.7451564828614009,
|
| 713 |
+
"grad_norm": 0.10567442549564693,
|
| 714 |
+
"learning_rate": 5.56930700113673e-07,
|
| 715 |
+
"loss": 1.3151,
|
| 716 |
+
"step": 500
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.7526080476900149,
|
| 720 |
+
"grad_norm": 0.11241400299999167,
|
| 721 |
+
"learning_rate": 5.268682701060012e-07,
|
| 722 |
+
"loss": 1.3493,
|
| 723 |
+
"step": 505
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.7600596125186289,
|
| 727 |
+
"grad_norm": 0.12270530511888589,
|
| 728 |
+
"learning_rate": 4.974661566813315e-07,
|
| 729 |
+
"loss": 1.4556,
|
| 730 |
+
"step": 510
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.767511177347243,
|
| 734 |
+
"grad_norm": 0.11388307104576878,
|
| 735 |
+
"learning_rate": 4.6874431058474127e-07,
|
| 736 |
+
"loss": 1.3664,
|
| 737 |
+
"step": 515
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.7749627421758569,
|
| 741 |
+
"grad_norm": 0.11683819283505842,
|
| 742 |
+
"learning_rate": 4.4072222096727663e-07,
|
| 743 |
+
"loss": 1.3655,
|
| 744 |
+
"step": 520
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.7824143070044709,
|
| 748 |
+
"grad_norm": 0.11164956386870885,
|
| 749 |
+
"learning_rate": 4.1341890216162934e-07,
|
| 750 |
+
"loss": 1.4173,
|
| 751 |
+
"step": 525
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.789865871833085,
|
| 755 |
+
"grad_norm": 0.115617873949176,
|
| 756 |
+
"learning_rate": 3.868528807799988e-07,
|
| 757 |
+
"loss": 1.4142,
|
| 758 |
+
"step": 530
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.797317436661699,
|
| 762 |
+
"grad_norm": 0.11850575487319875,
|
| 763 |
+
"learning_rate": 3.610421831428953e-07,
|
| 764 |
+
"loss": 1.4074,
|
| 765 |
+
"step": 535
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.8047690014903129,
|
| 769 |
+
"grad_norm": 0.10945804497786706,
|
| 770 |
+
"learning_rate": 3.36004323047419e-07,
|
| 771 |
+
"loss": 1.4065,
|
| 772 |
+
"step": 540
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.812220566318927,
|
| 776 |
+
"grad_norm": 0.1207296244907688,
|
| 777 |
+
"learning_rate": 3.11756289883306e-07,
|
| 778 |
+
"loss": 1.4036,
|
| 779 |
+
"step": 545
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.819672131147541,
|
| 783 |
+
"grad_norm": 0.11721523752905044,
|
| 784 |
+
"learning_rate": 2.883145371048133e-07,
|
| 785 |
+
"loss": 1.4412,
|
| 786 |
+
"step": 550
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.827123695976155,
|
| 790 |
+
"grad_norm": 0.1082841170490658,
|
| 791 |
+
"learning_rate": 2.656949710662591e-07,
|
| 792 |
+
"loss": 1.4002,
|
| 793 |
+
"step": 555
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.834575260804769,
|
| 797 |
+
"grad_norm": 0.10851598999478153,
|
| 798 |
+
"learning_rate": 2.4391294022879947e-07,
|
| 799 |
+
"loss": 1.3989,
|
| 800 |
+
"step": 560
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.842026825633383,
|
| 804 |
+
"grad_norm": 0.11994637882887171,
|
| 805 |
+
"learning_rate": 2.2298322474575838e-07,
|
| 806 |
+
"loss": 1.4249,
|
| 807 |
+
"step": 565
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.849478390461997,
|
| 811 |
+
"grad_norm": 0.11657770238088389,
|
| 812 |
+
"learning_rate": 2.0292002643358892e-07,
|
| 813 |
+
"loss": 1.3606,
|
| 814 |
+
"step": 570
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.856929955290611,
|
| 818 |
+
"grad_norm": 0.12222665777231102,
|
| 819 |
+
"learning_rate": 1.8373695913525317e-07,
|
| 820 |
+
"loss": 1.4042,
|
| 821 |
+
"step": 575
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.8643815201192251,
|
| 825 |
+
"grad_norm": 0.11933591684408021,
|
| 826 |
+
"learning_rate": 1.6544703948258172e-07,
|
| 827 |
+
"loss": 1.3801,
|
| 828 |
+
"step": 580
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.8718330849478391,
|
| 832 |
+
"grad_norm": 0.11512513535214042,
|
| 833 |
+
"learning_rate": 1.4806267806386093e-07,
|
| 834 |
+
"loss": 1.4339,
|
| 835 |
+
"step": 585
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.879284649776453,
|
| 839 |
+
"grad_norm": 0.10887999147831859,
|
| 840 |
+
"learning_rate": 1.3159567100265506e-07,
|
| 841 |
+
"loss": 1.3578,
|
| 842 |
+
"step": 590
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.886736214605067,
|
| 846 |
+
"grad_norm": 0.10936406330567362,
|
| 847 |
+
"learning_rate": 1.1605719195356806e-07,
|
| 848 |
+
"loss": 1.4209,
|
| 849 |
+
"step": 595
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.8941877794336811,
|
| 853 |
+
"grad_norm": 0.11262116794609218,
|
| 854 |
+
"learning_rate": 1.0145778452038629e-07,
|
| 855 |
+
"loss": 1.3144,
|
| 856 |
+
"step": 600
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.9016393442622951,
|
| 860 |
+
"grad_norm": 0.10899372973775676,
|
| 861 |
+
"learning_rate": 8.780735510173316e-08,
|
| 862 |
+
"loss": 1.3914,
|
| 863 |
+
"step": 605
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.9090909090909091,
|
| 867 |
+
"grad_norm": 0.10967422102767481,
|
| 868 |
+
"learning_rate": 7.51151661691048e-08,
|
| 869 |
+
"loss": 1.4328,
|
| 870 |
+
"step": 610
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.9165424739195231,
|
| 874 |
+
"grad_norm": 0.1195412132912122,
|
| 875 |
+
"learning_rate": 6.338982998183856e-08,
|
| 876 |
+
"loss": 1.4603,
|
| 877 |
+
"step": 615
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.9239940387481371,
|
| 881 |
+
"grad_norm": 0.11487548750982872,
|
| 882 |
+
"learning_rate": 5.263930274328044e-08,
|
| 883 |
+
"loss": 1.3718,
|
| 884 |
+
"step": 620
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.9314456035767511,
|
| 888 |
+
"grad_norm": 0.10425903788261691,
|
| 889 |
+
"learning_rate": 4.287087920212035e-08,
|
| 890 |
+
"loss": 1.3577,
|
| 891 |
+
"step": 625
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.9388971684053651,
|
| 895 |
+
"grad_norm": 0.10782320142147576,
|
| 896 |
+
"learning_rate": 3.4091187702554485e-08,
|
| 897 |
+
"loss": 1.4204,
|
| 898 |
+
"step": 630
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.9463487332339792,
|
| 902 |
+
"grad_norm": 0.11831408481668713,
|
| 903 |
+
"learning_rate": 2.630618568663584e-08,
|
| 904 |
+
"loss": 1.3797,
|
| 905 |
+
"step": 635
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.9538002980625931,
|
| 909 |
+
"grad_norm": 0.10973676611006619,
|
| 910 |
+
"learning_rate": 1.9521155651863854e-08,
|
| 911 |
+
"loss": 1.4409,
|
| 912 |
+
"step": 640
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.9612518628912071,
|
| 916 |
+
"grad_norm": 0.1141554461719489,
|
| 917 |
+
"learning_rate": 1.3740701566756276e-08,
|
| 918 |
+
"loss": 1.3842,
|
| 919 |
+
"step": 645
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.9687034277198212,
|
| 923 |
+
"grad_norm": 0.11403561646592845,
|
| 924 |
+
"learning_rate": 8.968745746835983e-09,
|
| 925 |
+
"loss": 1.3295,
|
| 926 |
+
"step": 650
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.9761549925484352,
|
| 930 |
+
"grad_norm": 0.11455606102253561,
|
| 931 |
+
"learning_rate": 5.208526193150764e-09,
|
| 932 |
+
"loss": 1.434,
|
| 933 |
+
"step": 655
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.9836065573770492,
|
| 937 |
+
"grad_norm": 0.10758938639100596,
|
| 938 |
+
"learning_rate": 2.462594395134854e-09,
|
| 939 |
+
"loss": 1.433,
|
| 940 |
+
"step": 660
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.9910581222056631,
|
| 944 |
+
"grad_norm": 0.11199281621555614,
|
| 945 |
+
"learning_rate": 7.328135993011631e-10,
|
| 946 |
+
"loss": 1.4072,
|
| 947 |
+
"step": 665
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.9985096870342772,
|
| 951 |
+
"grad_norm": 0.10839803620089897,
|
| 952 |
+
"learning_rate": 2.035754493812103e-11,
|
| 953 |
+
"loss": 1.4364,
|
| 954 |
+
"step": 670
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 1.0,
|
| 958 |
+
"eval_loss": 1.4019134044647217,
|
| 959 |
+
"eval_runtime": 563.36,
|
| 960 |
+
"eval_samples_per_second": 4.235,
|
| 961 |
+
"eval_steps_per_second": 0.133,
|
| 962 |
+
"step": 671
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 1.0,
|
| 966 |
+
"step": 671,
|
| 967 |
+
"total_flos": 2236028102377472.0,
|
| 968 |
+
"train_loss": 1.4386844755817987,
|
| 969 |
+
"train_runtime": 17062.4084,
|
| 970 |
+
"train_samples_per_second": 1.258,
|
| 971 |
+
"train_steps_per_second": 0.039
|
| 972 |
+
}
|
| 973 |
+
],
|
| 974 |
+
"logging_steps": 5,
|
| 975 |
+
"max_steps": 671,
|
| 976 |
+
"num_input_tokens_seen": 0,
|
| 977 |
+
"num_train_epochs": 1,
|
| 978 |
+
"save_steps": 200,
|
| 979 |
+
"stateful_callbacks": {
|
| 980 |
+
"TrainerControl": {
|
| 981 |
+
"args": {
|
| 982 |
+
"should_epoch_stop": false,
|
| 983 |
+
"should_evaluate": false,
|
| 984 |
+
"should_log": false,
|
| 985 |
+
"should_save": true,
|
| 986 |
+
"should_training_stop": false
|
| 987 |
+
},
|
| 988 |
+
"attributes": {}
|
| 989 |
+
}
|
| 990 |
+
},
|
| 991 |
+
"total_flos": 2236028102377472.0,
|
| 992 |
+
"train_batch_size": 8,
|
| 993 |
+
"trial_name": null,
|
| 994 |
+
"trial_params": null
|
| 995 |
+
}
|