Model save
Browse files- README.md +67 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
- runs/Jan05_21-55-57_12c0322bb846/events.out.tfevents.1704492732.12c0322bb846.2137.0 +2 -2
- runs/Jan05_21-55-57_12c0322bb846/events.out.tfevents.1704530092.12c0322bb846.2137.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +482 -0
README.md
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
|
| 4 |
+
tags:
|
| 5 |
+
- trl
|
| 6 |
+
- sft
|
| 7 |
+
- generated_from_trainer
|
| 8 |
+
datasets:
|
| 9 |
+
- generator
|
| 10 |
+
model-index:
|
| 11 |
+
- name: TinyLlama-1.1B-Chat-v1.0-reasoning-v2
|
| 12 |
+
results: []
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 17 |
+
|
| 18 |
+
# TinyLlama-1.1B-Chat-v1.0-reasoning-v2
|
| 19 |
+
|
| 20 |
+
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the generator dataset.
|
| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 1.0186
|
| 23 |
+
|
| 24 |
+
## Model description
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Intended uses & limitations
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training and evaluation data
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training procedure
|
| 37 |
+
|
| 38 |
+
### Training hyperparameters
|
| 39 |
+
|
| 40 |
+
The following hyperparameters were used during training:
|
| 41 |
+
- learning_rate: 4e-05
|
| 42 |
+
- train_batch_size: 10
|
| 43 |
+
- eval_batch_size: 4
|
| 44 |
+
- seed: 42
|
| 45 |
+
- distributed_type: multi-GPU
|
| 46 |
+
- gradient_accumulation_steps: 10
|
| 47 |
+
- total_train_batch_size: 100
|
| 48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 49 |
+
- lr_scheduler_type: cosine
|
| 50 |
+
- num_epochs: 4
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 55 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 56 |
+
| 1.0456 | 1.0 | 347 | 1.0360 |
|
| 57 |
+
| 0.9714 | 2.0 | 695 | 1.0180 |
|
| 58 |
+
| 0.9335 | 3.0 | 1042 | 1.0176 |
|
| 59 |
+
| 0.9348 | 3.99 | 1388 | 1.0186 |
|
| 60 |
+
|
| 61 |
+
|
| 62 |
+
### Framework versions
|
| 63 |
+
|
| 64 |
+
- Transformers 4.36.2
|
| 65 |
+
- Pytorch 2.1.0+cu118
|
| 66 |
+
- Datasets 2.14.6
|
| 67 |
+
- Tokenizers 0.15.0
|
all_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.99,
|
| 3 |
+
"eval_loss": 1.0186352729797363,
|
| 4 |
+
"eval_runtime": 19.987,
|
| 5 |
+
"eval_samples": 1771,
|
| 6 |
+
"eval_samples_per_second": 13.959,
|
| 7 |
+
"eval_steps_per_second": 3.502,
|
| 8 |
+
"train_loss": 0.9866050820185747,
|
| 9 |
+
"train_runtime": 37340.4665,
|
| 10 |
+
"train_samples": 195052,
|
| 11 |
+
"train_samples_per_second": 3.722,
|
| 12 |
+
"train_steps_per_second": 0.037
|
| 13 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.99,
|
| 3 |
+
"eval_loss": 1.0186352729797363,
|
| 4 |
+
"eval_runtime": 19.987,
|
| 5 |
+
"eval_samples": 1771,
|
| 6 |
+
"eval_samples_per_second": 13.959,
|
| 7 |
+
"eval_steps_per_second": 3.502
|
| 8 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 1,
|
| 3 |
+
"eos_token_id": 2,
|
| 4 |
+
"max_length": 2048,
|
| 5 |
+
"pad_token_id": 0,
|
| 6 |
+
"transformers_version": "4.36.2"
|
| 7 |
+
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2200119864
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:952296589bea8d6e696a52fccedaab119430294947b362b5b2fb9a4fc2842f08
|
| 3 |
size 2200119864
|
runs/Jan05_21-55-57_12c0322bb846/events.out.tfevents.1704492732.12c0322bb846.2137.0
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 sha256:5de6f9f6ecc4a43d0504931b3847421007f877901312069b22ac511fd9e8581c
|
| 3 |
+
size 16988
|
runs/Jan05_21-55-57_12c0322bb846/events.out.tfevents.1704530092.12c0322bb846.2137.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:342e167a1a34ad3f8f6bf2009bb137b686c9cec915b35284b5fa25946ed64100
|
| 3 |
+
size 359
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.99,
|
| 3 |
+
"train_loss": 0.9866050820185747,
|
| 4 |
+
"train_runtime": 37340.4665,
|
| 5 |
+
"train_samples": 195052,
|
| 6 |
+
"train_samples_per_second": 3.722,
|
| 7 |
+
"train_steps_per_second": 0.037
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,482 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.9942446043165467,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1388,
|
| 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 |
+
"learning_rate": 3.999994877043978e-05,
|
| 14 |
+
"loss": 1.5749,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.06,
|
| 19 |
+
"learning_rate": 3.997951166621575e-05,
|
| 20 |
+
"loss": 1.2447,
|
| 21 |
+
"step": 20
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.12,
|
| 25 |
+
"learning_rate": 3.9918088642045126e-05,
|
| 26 |
+
"loss": 1.1636,
|
| 27 |
+
"step": 40
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.17,
|
| 31 |
+
"learning_rate": 3.981585677303025e-05,
|
| 32 |
+
"loss": 1.1379,
|
| 33 |
+
"step": 60
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.23,
|
| 37 |
+
"learning_rate": 3.967302551523671e-05,
|
| 38 |
+
"loss": 1.1114,
|
| 39 |
+
"step": 80
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.29,
|
| 43 |
+
"learning_rate": 3.948988750611294e-05,
|
| 44 |
+
"loss": 1.1086,
|
| 45 |
+
"step": 100
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.35,
|
| 49 |
+
"learning_rate": 3.9266817964924905e-05,
|
| 50 |
+
"loss": 1.0915,
|
| 51 |
+
"step": 120
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.4,
|
| 55 |
+
"learning_rate": 3.900427392399429e-05,
|
| 56 |
+
"loss": 1.075,
|
| 57 |
+
"step": 140
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.46,
|
| 61 |
+
"learning_rate": 3.870279329231546e-05,
|
| 62 |
+
"loss": 1.0875,
|
| 63 |
+
"step": 160
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.52,
|
| 67 |
+
"learning_rate": 3.836299375346956e-05,
|
| 68 |
+
"loss": 1.0696,
|
| 69 |
+
"step": 180
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.58,
|
| 73 |
+
"learning_rate": 3.798557150009373e-05,
|
| 74 |
+
"loss": 1.0614,
|
| 75 |
+
"step": 200
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.63,
|
| 79 |
+
"learning_rate": 3.757129980749847e-05,
|
| 80 |
+
"loss": 1.0638,
|
| 81 |
+
"step": 220
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.69,
|
| 85 |
+
"learning_rate": 3.712102744935529e-05,
|
| 86 |
+
"loss": 1.0545,
|
| 87 |
+
"step": 240
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.75,
|
| 91 |
+
"learning_rate": 3.6635676958700946e-05,
|
| 92 |
+
"loss": 1.0508,
|
| 93 |
+
"step": 260
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.81,
|
| 97 |
+
"learning_rate": 3.611624273782092e-05,
|
| 98 |
+
"loss": 1.0566,
|
| 99 |
+
"step": 280
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.86,
|
| 103 |
+
"learning_rate": 3.556378902088484e-05,
|
| 104 |
+
"loss": 1.0577,
|
| 105 |
+
"step": 300
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.92,
|
| 109 |
+
"learning_rate": 3.4979447693508e-05,
|
| 110 |
+
"loss": 1.0428,
|
| 111 |
+
"step": 320
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.98,
|
| 115 |
+
"learning_rate": 3.436441597370635e-05,
|
| 116 |
+
"loss": 1.0456,
|
| 117 |
+
"step": 340
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 1.0,
|
| 121 |
+
"eval_loss": 1.035969614982605,
|
| 122 |
+
"eval_runtime": 20.059,
|
| 123 |
+
"eval_samples_per_second": 13.909,
|
| 124 |
+
"eval_steps_per_second": 3.49,
|
| 125 |
+
"step": 347
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 1.04,
|
| 129 |
+
"learning_rate": 3.371995395899618e-05,
|
| 130 |
+
"loss": 1.0082,
|
| 131 |
+
"step": 360
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 1.09,
|
| 135 |
+
"learning_rate": 3.304738204466437e-05,
|
| 136 |
+
"loss": 0.9889,
|
| 137 |
+
"step": 380
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 1.15,
|
| 141 |
+
"learning_rate": 3.234807821849838e-05,
|
| 142 |
+
"loss": 0.9786,
|
| 143 |
+
"step": 400
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 1.21,
|
| 147 |
+
"learning_rate": 3.162347523751894e-05,
|
| 148 |
+
"loss": 0.9881,
|
| 149 |
+
"step": 420
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 1.27,
|
| 153 |
+
"learning_rate": 3.0875057692499566e-05,
|
| 154 |
+
"loss": 0.9747,
|
| 155 |
+
"step": 440
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 1.32,
|
| 159 |
+
"learning_rate": 3.0104358966287503e-05,
|
| 160 |
+
"loss": 0.9842,
|
| 161 |
+
"step": 460
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"epoch": 1.38,
|
| 165 |
+
"learning_rate": 2.9312958092157724e-05,
|
| 166 |
+
"loss": 0.9846,
|
| 167 |
+
"step": 480
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 1.44,
|
| 171 |
+
"learning_rate": 2.850247651863686e-05,
|
| 172 |
+
"loss": 0.9801,
|
| 173 |
+
"step": 500
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 1.5,
|
| 177 |
+
"learning_rate": 2.767457478742533e-05,
|
| 178 |
+
"loss": 0.9834,
|
| 179 |
+
"step": 520
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 1.55,
|
| 183 |
+
"learning_rate": 2.6830949131224118e-05,
|
| 184 |
+
"loss": 0.9831,
|
| 185 |
+
"step": 540
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 1.61,
|
| 189 |
+
"learning_rate": 2.5973327998436527e-05,
|
| 190 |
+
"loss": 0.9787,
|
| 191 |
+
"step": 560
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 1.67,
|
| 195 |
+
"learning_rate": 2.5103468511865456e-05,
|
| 196 |
+
"loss": 0.981,
|
| 197 |
+
"step": 580
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 1.73,
|
| 201 |
+
"learning_rate": 2.4223152868661535e-05,
|
| 202 |
+
"loss": 0.9845,
|
| 203 |
+
"step": 600
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 1.78,
|
| 207 |
+
"learning_rate": 2.3334184688898107e-05,
|
| 208 |
+
"loss": 0.9754,
|
| 209 |
+
"step": 620
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 1.84,
|
| 213 |
+
"learning_rate": 2.2438385320254234e-05,
|
| 214 |
+
"loss": 0.9779,
|
| 215 |
+
"step": 640
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 1.9,
|
| 219 |
+
"learning_rate": 2.1537590106376758e-05,
|
| 220 |
+
"loss": 0.9737,
|
| 221 |
+
"step": 660
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 1.96,
|
| 225 |
+
"learning_rate": 2.0633644626567007e-05,
|
| 226 |
+
"loss": 0.9714,
|
| 227 |
+
"step": 680
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 2.0,
|
| 231 |
+
"eval_loss": 1.0180176496505737,
|
| 232 |
+
"eval_runtime": 20.0699,
|
| 233 |
+
"eval_samples_per_second": 13.901,
|
| 234 |
+
"eval_steps_per_second": 3.488,
|
| 235 |
+
"step": 695
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 2.01,
|
| 239 |
+
"learning_rate": 1.9728400914496288e-05,
|
| 240 |
+
"loss": 0.9669,
|
| 241 |
+
"step": 700
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 2.07,
|
| 245 |
+
"learning_rate": 1.882371366369749e-05,
|
| 246 |
+
"loss": 0.9478,
|
| 247 |
+
"step": 720
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 2.13,
|
| 251 |
+
"learning_rate": 1.79214364276071e-05,
|
| 252 |
+
"loss": 0.9458,
|
| 253 |
+
"step": 740
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 2.19,
|
| 257 |
+
"learning_rate": 1.702341782194301e-05,
|
| 258 |
+
"loss": 0.9307,
|
| 259 |
+
"step": 760
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"epoch": 2.24,
|
| 263 |
+
"learning_rate": 1.6131497737198942e-05,
|
| 264 |
+
"loss": 0.9435,
|
| 265 |
+
"step": 780
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 2.3,
|
| 269 |
+
"learning_rate": 1.5247503569015413e-05,
|
| 270 |
+
"loss": 0.945,
|
| 271 |
+
"step": 800
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 2.36,
|
| 275 |
+
"learning_rate": 1.437324647415053e-05,
|
| 276 |
+
"loss": 0.9416,
|
| 277 |
+
"step": 820
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 2.42,
|
| 281 |
+
"learning_rate": 1.3510517659721583e-05,
|
| 282 |
+
"loss": 0.9476,
|
| 283 |
+
"step": 840
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 2.47,
|
| 287 |
+
"learning_rate": 1.2661084713320093e-05,
|
| 288 |
+
"loss": 0.946,
|
| 289 |
+
"step": 860
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 2.53,
|
| 293 |
+
"learning_rate": 1.182668798151939e-05,
|
| 294 |
+
"loss": 0.9414,
|
| 295 |
+
"step": 880
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"epoch": 2.59,
|
| 299 |
+
"learning_rate": 1.1009037004194424e-05,
|
| 300 |
+
"loss": 0.9439,
|
| 301 |
+
"step": 900
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 2.65,
|
| 305 |
+
"learning_rate": 1.020980701195946e-05,
|
| 306 |
+
"loss": 0.9486,
|
| 307 |
+
"step": 920
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 2.71,
|
| 311 |
+
"learning_rate": 9.430635493899609e-06,
|
| 312 |
+
"loss": 0.949,
|
| 313 |
+
"step": 940
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 2.76,
|
| 317 |
+
"learning_rate": 8.673118842628595e-06,
|
| 318 |
+
"loss": 0.9376,
|
| 319 |
+
"step": 960
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 2.82,
|
| 323 |
+
"learning_rate": 7.938809083546264e-06,
|
| 324 |
+
"loss": 0.9432,
|
| 325 |
+
"step": 980
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 2.88,
|
| 329 |
+
"learning_rate": 7.229210694997113e-06,
|
| 330 |
+
"loss": 0.9457,
|
| 331 |
+
"step": 1000
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 2.94,
|
| 335 |
+
"learning_rate": 6.545777525844883e-06,
|
| 336 |
+
"loss": 0.9357,
|
| 337 |
+
"step": 1020
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 2.99,
|
| 341 |
+
"learning_rate": 5.889909816778458e-06,
|
| 342 |
+
"loss": 0.9335,
|
| 343 |
+
"step": 1040
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 3.0,
|
| 347 |
+
"eval_loss": 1.0176299810409546,
|
| 348 |
+
"eval_runtime": 20.0069,
|
| 349 |
+
"eval_samples_per_second": 13.945,
|
| 350 |
+
"eval_steps_per_second": 3.499,
|
| 351 |
+
"step": 1042
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 3.05,
|
| 355 |
+
"learning_rate": 5.262951331452011e-06,
|
| 356 |
+
"loss": 0.937,
|
| 357 |
+
"step": 1060
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 3.11,
|
| 361 |
+
"learning_rate": 4.6661866033371506e-06,
|
| 362 |
+
"loss": 0.9351,
|
| 363 |
+
"step": 1080
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 3.17,
|
| 367 |
+
"learning_rate": 4.100838303927914e-06,
|
| 368 |
+
"loss": 0.9415,
|
| 369 |
+
"step": 1100
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 3.22,
|
| 373 |
+
"learning_rate": 3.5680647376905666e-06,
|
| 374 |
+
"loss": 0.9293,
|
| 375 |
+
"step": 1120
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 3.28,
|
| 379 |
+
"learning_rate": 3.0689574688907607e-06,
|
| 380 |
+
"loss": 0.9304,
|
| 381 |
+
"step": 1140
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 3.34,
|
| 385 |
+
"learning_rate": 2.604539085160218e-06,
|
| 386 |
+
"loss": 0.9254,
|
| 387 |
+
"step": 1160
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 3.4,
|
| 391 |
+
"learning_rate": 2.1757611023850876e-06,
|
| 392 |
+
"loss": 0.9293,
|
| 393 |
+
"step": 1180
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 3.45,
|
| 397 |
+
"learning_rate": 1.7835020152084116e-06,
|
| 398 |
+
"loss": 0.9391,
|
| 399 |
+
"step": 1200
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 3.51,
|
| 403 |
+
"learning_rate": 1.4285654971409902e-06,
|
| 404 |
+
"loss": 0.9363,
|
| 405 |
+
"step": 1220
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 3.57,
|
| 409 |
+
"learning_rate": 1.1116787539682571e-06,
|
| 410 |
+
"loss": 0.9506,
|
| 411 |
+
"step": 1240
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 3.63,
|
| 415 |
+
"learning_rate": 8.334910338268054e-07,
|
| 416 |
+
"loss": 0.9226,
|
| 417 |
+
"step": 1260
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 3.68,
|
| 421 |
+
"learning_rate": 5.945722970031332e-07,
|
| 422 |
+
"loss": 0.9305,
|
| 423 |
+
"step": 1280
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 3.74,
|
| 427 |
+
"learning_rate": 3.9541204817997283e-07,
|
| 428 |
+
"loss": 0.9306,
|
| 429 |
+
"step": 1300
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 3.8,
|
| 433 |
+
"learning_rate": 2.3641833352276768e-07,
|
| 434 |
+
"loss": 0.9344,
|
| 435 |
+
"step": 1320
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 3.86,
|
| 439 |
+
"learning_rate": 1.1791690466107286e-07,
|
| 440 |
+
"loss": 0.93,
|
| 441 |
+
"step": 1340
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 3.91,
|
| 445 |
+
"learning_rate": 4.0150551277724494e-08,
|
| 446 |
+
"loss": 0.9344,
|
| 447 |
+
"step": 1360
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 3.97,
|
| 451 |
+
"learning_rate": 3.2786036732557203e-09,
|
| 452 |
+
"loss": 0.9348,
|
| 453 |
+
"step": 1380
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 3.99,
|
| 457 |
+
"eval_loss": 1.0186352729797363,
|
| 458 |
+
"eval_runtime": 19.987,
|
| 459 |
+
"eval_samples_per_second": 13.959,
|
| 460 |
+
"eval_steps_per_second": 3.502,
|
| 461 |
+
"step": 1388
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 3.99,
|
| 465 |
+
"step": 1388,
|
| 466 |
+
"total_flos": 1.7642090681398723e+18,
|
| 467 |
+
"train_loss": 0.9866050820185747,
|
| 468 |
+
"train_runtime": 37340.4665,
|
| 469 |
+
"train_samples_per_second": 3.722,
|
| 470 |
+
"train_steps_per_second": 0.037
|
| 471 |
+
}
|
| 472 |
+
],
|
| 473 |
+
"logging_steps": 20,
|
| 474 |
+
"max_steps": 1388,
|
| 475 |
+
"num_input_tokens_seen": 0,
|
| 476 |
+
"num_train_epochs": 4,
|
| 477 |
+
"save_steps": 80,
|
| 478 |
+
"total_flos": 1.7642090681398723e+18,
|
| 479 |
+
"train_batch_size": 10,
|
| 480 |
+
"trial_name": null,
|
| 481 |
+
"trial_params": null
|
| 482 |
+
}
|