Commit
•
432f276
1
Parent(s):
8adeb99
Model save
Browse files- README.md +84 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +414 -0
README.md
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+
---
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base_model: google/gemma-2-2b-it
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library_name: peft
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license: gemma
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Gemma-2-2B_task-1_60-samples_config-2_full_auto
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Gemma-2-2B_task-1_60-samples_config-2_full_auto
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This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1510
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 2.3291 | 0.6957 | 2 | 2.2148 |
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| 2.3149 | 1.7391 | 5 | 2.1203 |
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| 2.0527 | 2.7826 | 8 | 1.7995 |
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| 1.8287 | 3.8261 | 11 | 1.4930 |
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| 1.4013 | 4.8696 | 14 | 1.3096 |
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| 1.2792 | 5.9130 | 17 | 1.1454 |
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| 1.0352 | 6.9565 | 20 | 1.0580 |
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| 0.9755 | 8.0 | 23 | 1.0166 |
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| 0.9229 | 8.6957 | 25 | 0.9997 |
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| 0.8475 | 9.7391 | 28 | 0.9786 |
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| 0.8219 | 10.7826 | 31 | 0.9607 |
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| 0.7598 | 11.8261 | 34 | 0.9497 |
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| 0.7358 | 12.8696 | 37 | 0.9476 |
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| 0.6627 | 13.9130 | 40 | 0.9562 |
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| 0.6456 | 14.9565 | 43 | 0.9710 |
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| 0.5933 | 16.0 | 46 | 0.9923 |
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| 0.5504 | 16.6957 | 48 | 1.0152 |
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| 0.5298 | 17.7391 | 51 | 1.0546 |
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| 0.4504 | 18.7826 | 54 | 1.1058 |
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| 0.4508 | 19.8261 | 57 | 1.1510 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 83115256
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:861478e6fa2ddb32f24edb1dd80f32a2c148a342b018d3866c76e2657bfd305b
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size 83115256
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all_results.json
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{
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"epoch": 19.82608695652174,
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"total_flos": 3927682766077952.0,
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"train_loss": 1.0507982456893252,
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"train_runtime": 408.1771,
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"train_samples": 46,
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"train_samples_per_second": 5.635,
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"train_steps_per_second": 0.245
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}
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train_results.json
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{
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"epoch": 19.82608695652174,
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"total_flos": 3927682766077952.0,
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"train_loss": 1.0507982456893252,
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"train_runtime": 408.1771,
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"train_samples": 46,
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"train_samples_per_second": 5.635,
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"train_steps_per_second": 0.245
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}
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trainer_state.json
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{
|
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+
"best_metric": 0.9476106762886047,
|
| 3 |
+
"best_model_checkpoint": "data/Gemma-2-2B_task-1_60-samples_config-2_full_auto/checkpoint-37",
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| 4 |
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"epoch": 19.82608695652174,
|
| 5 |
+
"eval_steps": 500,
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| 6 |
+
"global_step": 57,
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| 7 |
+
"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
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| 11 |
+
{
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| 12 |
+
"epoch": 0.34782608695652173,
|
| 13 |
+
"grad_norm": 1.285793662071228,
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| 14 |
+
"learning_rate": 1e-05,
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| 15 |
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"loss": 2.3068,
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| 16 |
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"step": 1
|
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},
|
| 18 |
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{
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| 19 |
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"epoch": 0.6956521739130435,
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| 20 |
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"grad_norm": 1.2761372327804565,
|
| 21 |
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"learning_rate": 2e-05,
|
| 22 |
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"loss": 2.3291,
|
| 23 |
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"step": 2
|
| 24 |
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},
|
| 25 |
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{
|
| 26 |
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"epoch": 0.6956521739130435,
|
| 27 |
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"eval_loss": 2.214773416519165,
|
| 28 |
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"eval_runtime": 1.0947,
|
| 29 |
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"eval_samples_per_second": 10.962,
|
| 30 |
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"eval_steps_per_second": 10.962,
|
| 31 |
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"step": 2
|
| 32 |
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},
|
| 33 |
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{
|
| 34 |
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"epoch": 1.391304347826087,
|
| 35 |
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"grad_norm": 1.301371455192566,
|
| 36 |
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"learning_rate": 4e-05,
|
| 37 |
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"loss": 2.3149,
|
| 38 |
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