Model save
Browse files- README.md +83 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- runs/Jun05_05-37-11_7bdd13775218/events.out.tfevents.1717565872.7bdd13775218.92549.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +2341 -0
README.md
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| 1 |
+
---
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license: gemma
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library_name: peft
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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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base_model: google/gemma-2b
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datasets:
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- generator
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model-index:
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- name: gemma2b-summarize-gemini1_5flash-64k
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results: []
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---
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| 16 |
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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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# gemma2b-summarize-gemini1_5flash-64k
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5425
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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: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 1.2724 | 0.9952 | 104 | 2.5531 |
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| 1.0792 | 2.0 | 209 | 2.4752 |
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| 1.0312 | 2.9952 | 313 | 2.4632 |
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| 0.9957 | 4.0 | 418 | 2.4705 |
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| 0.9775 | 4.9952 | 522 | 2.4764 |
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| 0.9584 | 6.0 | 627 | 2.4870 |
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| 0.9368 | 6.9952 | 731 | 2.4975 |
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| 0.93 | 8.0 | 836 | 2.5067 |
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| 0.9195 | 8.9952 | 940 | 2.5168 |
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| 0.912 | 10.0 | 1045 | 2.5271 |
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| 0.9003 | 10.9952 | 1149 | 2.5356 |
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| 0.9032 | 12.0 | 1254 | 2.5401 |
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| 0.9006 | 12.9952 | 1358 | 2.5426 |
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| 0.9007 | 14.0 | 1463 | 2.5433 |
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| 0.896 | 14.9282 | 1560 | 2.5425 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.40.1
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- Pytorch 2.2.0+cu121
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- Datasets 2.19.2
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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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size 19644912
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version https://git-lfs.github.com/spec/v1
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oid sha256:65c2b237a9d6e4f42820f11fb6a46e7fa64092ce0eaf8bfe6216180cfe7ee76f
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size 19644912
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all_results.json
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{
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"epoch": 14.92822966507177,
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"total_flos": 1.2217365722824704e+18,
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"train_loss": 1.0227742999027938,
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| 5 |
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"train_runtime": 5355.4835,
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| 6 |
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"train_samples": 63353,
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"train_samples_per_second": 18.668,
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"train_steps_per_second": 0.291
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}
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runs/Jun05_05-37-11_7bdd13775218/events.out.tfevents.1717565872.7bdd13775218.92549.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 75804
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train_results.json
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{
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"epoch": 14.92822966507177,
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"total_flos": 1.2217365722824704e+18,
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"train_loss": 1.0227742999027938,
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"train_runtime": 5355.4835,
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"train_samples": 63353,
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"train_samples_per_second": 18.668,
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"train_steps_per_second": 0.291
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}
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trainer_state.json
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