Model save
Browse files
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-claude3sonnet-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-claude3sonnet-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: 2.5454
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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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| 1.4889 | 1.0 | 51 | 2.5875 |
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| 1.1695 | 2.0 | 102 | 2.5044 |
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| 1.1003 | 3.0 | 153 | 2.5000 |
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| 1.0537 | 4.0 | 204 | 2.5040 |
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| 1.0131 | 5.0 | 255 | 2.5131 |
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| 0.995 | 6.0 | 306 | 2.5208 |
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| 0.9739 | 7.0 | 357 | 2.5337 |
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| 0.9626 | 8.0 | 408 | 2.5445 |
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| 0.9572 | 9.0 | 459 | 2.5443 |
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| 0.9554 | 10.0 | 510 | 2.5454 |
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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 2.2.2+cu121
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- Datasets 2.19.1
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| 78 |
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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:c6392527e0fe55c2c920d96a4c9d6113ebe5eb2e8f180bff1b1319e7422dc431
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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": 2.9956040277203354e+17,
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"train_loss": 1.144676014956306,
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"train_runtime": 1752.8789,
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"train_samples": 15873,
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"train_samples_per_second": 13.857,
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"train_steps_per_second": 0.291
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}
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runs/Jun05_14-01-48_user-HP-Z8-Fury-G5-Workstation-Desktop-PC/events.out.tfevents.1717563730.user-HP-Z8-Fury-G5-Workstation-Desktop-PC.934985.0
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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 30159
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train_results.json
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{
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"epoch": 10.0,
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"total_flos": 2.9956040277203354e+17,
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"train_loss": 1.144676014956306,
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"train_runtime": 1752.8789,
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"train_samples": 15873,
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"train_samples_per_second": 13.857,
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"train_steps_per_second": 0.291
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}
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trainer_state.json
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