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gemma2b-summarize-gemini1_5flash-8k

PEFT
TensorBoard
Safetensors
gemma
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
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  1. README.md +78 -0
  2. adapter_model.safetensors +1 -1
  3. all_results.json +9 -0
  4. runs/Jun05_04-41-00_7bdd13775218/events.out.tfevents.1717562483.7bdd13775218.60620.0 +2 -2
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+ ---
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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-8k
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+ results: []
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+ ---
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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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+
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+ # gemma2b-summarize-gemini1_5flash-8k
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+
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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: 2.5133
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 2.7544 | 0.9630 | 13 | 2.8722 |
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+ | 1.7723 | 2.0 | 27 | 2.6064 |
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+ | 1.4023 | 2.9630 | 40 | 2.5710 |
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+ | 1.2778 | 4.0 | 54 | 2.5349 |
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+ | 1.1848 | 4.9630 | 67 | 2.5176 |
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+ | 1.1522 | 6.0 | 81 | 2.5045 |
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+ | 1.1305 | 6.9630 | 94 | 2.5065 |
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+ | 1.1075 | 8.0 | 108 | 2.5136 |
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+ | 1.1049 | 8.9630 | 121 | 2.5129 |
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+ | 1.1048 | 9.6296 | 130 | 2.5133 |
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+
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+
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+ ### Framework versions
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+
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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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