Commit
•
7e9a50f
1
Parent(s):
fcc9070
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 +752 -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-1_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-2_120-samples_config-1_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: 1.2480
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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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| 1.2764 | 1.0 | 11 | 1.3024 |
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| 1.0771 | 2.0 | 22 | 1.1453 |
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| 1.0212 | 3.0 | 33 | 1.0337 |
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| 0.9453 | 4.0 | 44 | 0.9333 |
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| 0.8729 | 5.0 | 55 | 0.8991 |
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| 0.8348 | 6.0 | 66 | 0.8805 |
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| 0.8039 | 7.0 | 77 | 0.8735 |
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| 0.7673 | 8.0 | 88 | 0.8720 |
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| 0.7032 | 9.0 | 99 | 0.8838 |
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| 0.6184 | 10.0 | 110 | 0.9229 |
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| 0.6169 | 11.0 | 121 | 0.9628 |
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| 0.4972 | 12.0 | 132 | 1.0208 |
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| 0.5106 | 13.0 | 143 | 1.0691 |
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| 0.3363 | 14.0 | 154 | 1.1944 |
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| 0.2612 | 15.0 | 165 | 1.2480 |
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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 sha256:20a84754a8c08060c4c1d7066e7603ba19d72d9b215d9dadfaeb230cbc9024b4
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size 83115256
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all_results.json
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{
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"epoch": 15.0,
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"total_flos": 4.301791910114099e+16,
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"train_loss": 0.7604246639844143,
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"train_runtime": 1840.0416,
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"train_samples": 88,
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"train_samples_per_second": 2.391,
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"train_steps_per_second": 0.299
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}
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train_results.json
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{
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"epoch": 15.0,
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"total_flos": 4.301791910114099e+16,
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"train_loss": 0.7604246639844143,
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"train_runtime": 1840.0416,
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"train_samples": 88,
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"train_samples_per_second": 2.391,
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"train_steps_per_second": 0.299
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}
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trainer_state.json
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