Commit
•
1caf449
1
Parent(s):
41b66e4
Model save
Browse files- README.md +78 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +583 -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_180-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_180-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: 1.3165
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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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| 0.9786 | 0.9412 | 8 | 1.0015 |
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| 0.8258 | 2.0 | 17 | 0.8337 |
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| 0.7427 | 2.9412 | 25 | 0.7353 |
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| 0.6073 | 4.0 | 34 | 0.6722 |
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| 0.5792 | 4.9412 | 42 | 0.6399 |
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| 0.5866 | 6.0 | 51 | 0.6176 |
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| 0.4814 | 6.9412 | 59 | 0.6109 |
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| 0.4326 | 8.0 | 68 | 0.6347 |
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| 0.3304 | 8.9412 | 76 | 0.6800 |
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| 0.271 | 10.0 | 85 | 0.7600 |
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| 0.198 | 10.9412 | 93 | 0.9147 |
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| 0.0956 | 12.0 | 102 | 1.0827 |
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| 0.0691 | 12.9412 | 110 | 1.2139 |
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| 0.0451 | 14.0 | 119 | 1.3165 |
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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:a826c7ccc5a87ab24827752eddafc230f9a78d5146a781b93427f572268d20a4
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size 83115256
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all_results.json
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{
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"epoch": 14.0,
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"total_flos": 6.415553046931046e+16,
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"train_loss": 0.4680662748067319,
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"train_runtime": 2723.8485,
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"train_samples": 136,
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"train_samples_per_second": 2.496,
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"train_steps_per_second": 0.147
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}
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train_results.json
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{
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"epoch": 14.0,
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"total_flos": 6.415553046931046e+16,
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"train_loss": 0.4680662748067319,
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"train_runtime": 2723.8485,
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"train_samples": 136,
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"train_samples_per_second": 2.496,
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"train_steps_per_second": 0.147
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}
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trainer_state.json
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