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-7b
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datasets:
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- generator
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model-index:
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- name: gemma7b-summarize-gpt4o-32k
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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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# gemma7b-summarize-gpt4o-32k
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.7170
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- total_eval_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: 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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| 1.0031 | 0.9975 | 203 | 2.5299 |
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| 0.8685 | 2.0 | 407 | 2.4260 |
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| 0.8 | 2.9975 | 610 | 2.5051 |
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| 0.6938 | 4.0 | 814 | 2.6558 |
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| 0.5865 | 4.9975 | 1017 | 2.9163 |
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| 0.4821 | 6.0 | 1221 | 3.3285 |
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| 0.3899 | 6.9975 | 1424 | 3.8984 |
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| 0.3321 | 8.0 | 1628 | 4.4348 |
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| 0.3089 | 8.9975 | 1831 | 4.6891 |
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| 0.3016 | 9.9754 | 2030 | 4.7170 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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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 50056096
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version https://git-lfs.github.com/spec/v1
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oid sha256:125f331ca9a8684aec05b7fd7ab37fb0f3ec43d64414a7c4aa9dfc598b180031
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size 50056096
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all_results.json
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{
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"epoch": 9.975429975429975,
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"total_flos": 1.5518062706111283e+18,
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"train_loss": 1.3545548074938394,
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"train_runtime": 13205.4864,
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"train_samples": 29997,
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"train_samples_per_second": 2.465,
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"train_steps_per_second": 0.154
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}
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runs/Jun08_17-03-13_user-WS-C621E-SAGE-Series/events.out.tfevents.1717833873.user-WS-C621E-SAGE-Series.13572.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 94269
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train_results.json
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{
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"epoch": 9.975429975429975,
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"total_flos": 1.5518062706111283e+18,
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"train_loss": 1.3545548074938394,
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"train_runtime": 13205.4864,
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"train_samples": 29997,
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"train_samples_per_second": 2.465,
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"train_steps_per_second": 0.154
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}
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trainer_state.json
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2958 |
+
"trial_params": null
|
2959 |
+
}
|