Model save
Browse files- README.md +78 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- runs/Jun05_05-05-56_7bdd13775218/events.out.tfevents.1717563989.7bdd13775218.74978.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +845 -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-32k
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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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# gemma2b-summarize-gemini1_5flash-32k
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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: 2.5309
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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: 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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| 1.4893 | 1.0 | 52 | 2.5957 |
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| 1.143 | 2.0 | 104 | 2.5094 |
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| 1.0743 | 3.0 | 156 | 2.4955 |
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| 1.0412 | 4.0 | 208 | 2.4910 |
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| 1.0117 | 5.0 | 260 | 2.5050 |
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| 0.9886 | 6.0 | 312 | 2.5159 |
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| 0.9711 | 7.0 | 364 | 2.5234 |
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| 0.9637 | 8.0 | 416 | 2.5294 |
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| 0.9604 | 9.0 | 468 | 2.5299 |
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| 0.9523 | 10.0 | 520 | 2.5309 |
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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 sha256:29c4b9695e07bfc8793431250e0d50f697c4f2a08946ed1aa0105002b6673179
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size 19644912
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all_results.json
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{
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"epoch": 10.0,
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"total_flos": 4.072455240941568e+17,
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"train_loss": 1.1447187717144305,
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"train_runtime": 1794.4362,
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| 6 |
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"train_samples": 31676,
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| 7 |
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"train_samples_per_second": 18.541,
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"train_steps_per_second": 0.29
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}
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runs/Jun05_05-05-56_7bdd13775218/events.out.tfevents.1717563989.7bdd13775218.74978.0
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version https://git-lfs.github.com/spec/v1
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-
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size
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version https://git-lfs.github.com/spec/v1
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size 30556
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train_results.json
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{
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"epoch": 10.0,
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"total_flos": 4.072455240941568e+17,
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"train_loss": 1.1447187717144305,
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| 5 |
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"train_runtime": 1794.4362,
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| 6 |
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"train_samples": 31676,
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"train_samples_per_second": 18.541,
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"train_steps_per_second": 0.29
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}
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trainer_state.json
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