Commit
•
38c3729
1
Parent(s):
4abfbe2
Model save
Browse files- README.md +82 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +545 -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-3_120-samples_config-2_full
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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-3_120-samples_config-2_full
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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: 1.0786
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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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| 1.4237 | 0.9091 | 5 | 1.3857 |
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| 1.3836 | 2.0 | 11 | 1.2989 |
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| 1.2209 | 2.9091 | 16 | 1.2033 |
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| 1.129 | 4.0 | 22 | 1.1133 |
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| 1.0353 | 4.9091 | 27 | 1.0336 |
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| 0.957 | 6.0 | 33 | 0.9890 |
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| 0.9251 | 6.9091 | 38 | 0.9710 |
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| 0.9012 | 8.0 | 44 | 0.9577 |
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| 0.8677 | 8.9091 | 49 | 0.9495 |
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| 0.8692 | 10.0 | 55 | 0.9446 |
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| 0.8262 | 10.9091 | 60 | 0.9439 |
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| 0.7985 | 12.0 | 66 | 0.9476 |
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| 0.7634 | 12.9091 | 71 | 0.9547 |
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| 0.7465 | 14.0 | 77 | 0.9688 |
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| 0.6551 | 14.9091 | 82 | 0.9894 |
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| 0.6593 | 16.0 | 88 | 1.0191 |
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| 0.599 | 16.9091 | 93 | 1.0529 |
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| 0.5401 | 18.0 | 99 | 1.0786 |
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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:f13a83f95a5104acaa9f3c8c6e464e2eaa0a6ce50217b7ed1723d63982359e66
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size 83115256
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all_results.json
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{
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"epoch": 18.0,
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"total_flos": 4.256542434839757e+16,
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"train_loss": 0.9124392114504419,
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"train_runtime": 1803.5797,
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"train_samples": 88,
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"train_samples_per_second": 2.44,
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"train_steps_per_second": 0.139
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}
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train_results.json
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{
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"epoch": 18.0,
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"total_flos": 4.256542434839757e+16,
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"train_loss": 0.9124392114504419,
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"train_runtime": 1803.5797,
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"train_samples": 88,
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"train_samples_per_second": 2.44,
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"train_steps_per_second": 0.139
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}
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trainer_state.json
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