Model save
Browse files- README.md +2 -26
- adapter_config.json +5 -5
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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- sft
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- generated_from_trainer
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base_model: google/gemma-2b-it
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datasets:
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- generator
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model-index:
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- name: gemma-2b-lahacks
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results: []
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# gemma-2b-lahacks
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This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on
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It achieves the following results on the evaluation set:
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- Loss: 2.2077
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.05
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- training_steps:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 3.6438 | 1.6393 | 100 | 2.7298 |
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| 2.5556 | 3.2787 | 200 | 2.3638 |
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| 2.3244 | 4.9180 | 300 | 2.2709 |
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| 2.2537 | 6.5574 | 400 | 2.2349 |
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| 2.2077 | 8.1967 | 500 | 2.2143 |
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| 2.1685 | 9.8361 | 600 | 2.2032 |
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| 2.1429 | 11.4754 | 700 | 2.1962 |
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| 2.1116 | 13.1148 | 800 | 2.1939 |
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| 2.0834 | 14.7541 | 900 | 2.1944 |
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| 2.0626 | 16.3934 | 1000 | 2.1977 |
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| 2.0412 | 18.0328 | 1100 | 2.2000 |
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| 2.0286 | 19.6721 | 1200 | 2.2040 |
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| 2.0217 | 21.3115 | 1300 | 2.2062 |
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| 2.0134 | 22.9508 | 1400 | 2.2077 |
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### Framework versions
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- sft
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- generated_from_trainer
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base_model: google/gemma-2b-it
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model-index:
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- name: gemma-2b-lahacks
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results: []
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# gemma-2b-lahacks
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This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown dataset.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 10
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj",
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"k_proj",
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"down_proj",
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"up_proj",
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"gate_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"o_proj",
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"v_proj",
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"q_proj",
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"gate_proj",
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"k_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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training_args.bin
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