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 +709 -0
README.md
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| 1 |
+
---
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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-1_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-2_120-samples_config-1_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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1758
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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: 8
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- total_train_batch_size: 8
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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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| 1.2681 | 1.0 | 11 | 1.2885 |
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| 1.0715 | 2.0 | 22 | 1.1368 |
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| 1.0104 | 3.0 | 33 | 1.0256 |
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| 0.9392 | 4.0 | 44 | 0.9240 |
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| 0.8623 | 5.0 | 55 | 0.8879 |
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| 0.8299 | 6.0 | 66 | 0.8688 |
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| 0.7975 | 7.0 | 77 | 0.8620 |
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| 0.7553 | 8.0 | 88 | 0.8630 |
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| 0.6918 | 9.0 | 99 | 0.8764 |
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| 0.6005 | 10.0 | 110 | 0.9124 |
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| 0.6021 | 11.0 | 121 | 0.9520 |
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| 0.4832 | 12.0 | 132 | 1.0167 |
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| 0.5046 | 13.0 | 143 | 1.0761 |
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| 0.3353 | 14.0 | 154 | 1.1758 |
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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 sha256:49de76472a0267802438ec547152b82af3a576ec18416f2a1612e4e1d943a1c2
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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": 4.142690421702656e+16,
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"train_loss": 0.7778143480226591,
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"train_runtime": 1774.7755,
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"train_samples": 88,
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"train_samples_per_second": 2.479,
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"train_steps_per_second": 0.31
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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": 4.142690421702656e+16,
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"train_loss": 0.7778143480226591,
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"train_runtime": 1774.7755,
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"train_samples": 88,
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"train_samples_per_second": 2.479,
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"train_steps_per_second": 0.31
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}
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trainer_state.json
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