Commit
•
1f543b1
1
Parent(s):
207f4cb
Model save
Browse files- README.md +79 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +465 -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-2_120-samples_config-2_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-2_120-samples_config-2_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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2809
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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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| 1.0219 | 0.9091 | 5 | 1.0249 |
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| 0.9649 | 2.0 | 11 | 0.8980 |
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| 0.7596 | 2.9091 | 16 | 0.8028 |
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| 0.6873 | 4.0 | 22 | 0.7306 |
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| 0.6361 | 4.9091 | 27 | 0.6907 |
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| 0.5688 | 6.0 | 33 | 0.6625 |
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| 0.5268 | 6.9091 | 38 | 0.6464 |
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| 0.4821 | 8.0 | 44 | 0.6387 |
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| 0.439 | 8.9091 | 49 | 0.6490 |
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| 0.3766 | 10.0 | 55 | 0.6785 |
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| 0.3045 | 10.9091 | 60 | 0.7300 |
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| 0.2261 | 12.0 | 66 | 0.8326 |
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| 0.1684 | 12.9091 | 71 | 0.9590 |
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| 0.097 | 14.0 | 77 | 1.1236 |
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| 0.0478 | 14.9091 | 82 | 1.2809 |
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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 sha256:06d5dc97d0e0c159a8c5210e66d2017d20dcaa70f33b00558696a974043e4ec1
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size 83115256
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all_results.json
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{
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"epoch": 14.909090909090908,
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"total_flos": 4.438596877759283e+16,
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"train_loss": 0.49398956584130843,
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"train_runtime": 1893.2723,
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"train_samples": 88,
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"train_samples_per_second": 2.324,
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"train_steps_per_second": 0.132
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}
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train_results.json
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{
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"epoch": 14.909090909090908,
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"total_flos": 4.438596877759283e+16,
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"train_loss": 0.49398956584130843,
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"train_runtime": 1893.2723,
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"train_samples": 88,
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"train_samples_per_second": 2.324,
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"train_steps_per_second": 0.132
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}
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trainer_state.json
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{
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| 2 |
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"best_metric": 0.6386890411376953,
|
| 3 |
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"best_model_checkpoint": "data/Gemma-2-2B_task-2_120-samples_config-2_auto/checkpoint-44",
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| 4 |
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"epoch": 14.909090909090908,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 82,
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| 7 |
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"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": 0.18181818181818182,
|
| 13 |
+
"grad_norm": 0.7632969617843628,
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| 14 |
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"learning_rate": 4.000000000000001e-06,
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| 15 |
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"loss": 1.045,
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| 16 |
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"step": 1
|
| 17 |
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},
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| 18 |
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{
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| 19 |
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"epoch": 0.36363636363636365,
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| 20 |
+
"grad_norm": 0.6736323237419128,
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| 21 |
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"learning_rate": 8.000000000000001e-06,
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| 22 |
+
"loss": 0.9398,
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| 23 |
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"step": 2
|
| 24 |
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},
|
| 25 |
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{
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