Model save
Browse files
README.md
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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-gpt4o-16k
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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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# gemma2b-summarize-gpt4o-16k
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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: 2.5758
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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: 3
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 48
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- total_eval_batch_size: 24
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.8806 | 0.9863 | 36 | 2.6094 |
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| 1.3239 | 2.0 | 73 | 2.5358 |
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| 1.2327 | 2.9863 | 109 | 2.5192 |
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| 1.1735 | 4.0 | 146 | 2.5203 |
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| 1.1354 | 4.9863 | 182 | 2.5467 |
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| 1.1015 | 6.0 | 219 | 2.5496 |
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| 1.0858 | 6.9863 | 255 | 2.5680 |
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| 1.0624 | 8.0 | 292 | 2.5723 |
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| 1.0546 | 8.9863 | 328 | 2.5756 |
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| 1.0623 | 9.8630 | 360 | 2.5758 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.3.0+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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all_results.json
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"total_flos": 2.1145440197646746e+17,
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"train_loss": 1.288370986117257,
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"train_runtime": 1930.7273,
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"train_samples": 16152,
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"train_samples_per_second": 9.074,
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"train_steps_per_second": 0.186
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}
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runs/Jun05_14-12-12_user-HP-Z8-Fury-G5-Workstation-Desktop-PC/events.out.tfevents.1717564350.user-HP-Z8-Fury-G5-Workstation-Desktop-PC.25863.0
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size 23945
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train_results.json
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"train_samples_per_second": 9.074,
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"train_steps_per_second": 0.186
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}
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trainer_state.json
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