Model save
Browse files- README.md +64 -0
- adapter_model.safetensors +1 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +962 -0
README.md
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+
---
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license: other
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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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datasets:
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- generator
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base_model: 01-ai/Yi-6B
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model-index:
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- name: Yi-6B-zhihu4
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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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# Yi-6B-zhihu4
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This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4907
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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: 1
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- eval_batch_size: 1
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- seed: 42
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.744 | 1.0 | 766 | 2.4907 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.2.2+cu118
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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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 72673912
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version https://git-lfs.github.com/spec/v1
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oid sha256:2fda17e3dc13c848b3b167f7289485a733fc13a391eb8ea68ebadc4e8d2fccd4
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size 72673912
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all_results.json
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{
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"epoch": 1.0,
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"eval_loss": 2.4906539916992188,
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"eval_runtime": 232.3523,
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"eval_samples": 2561,
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"eval_samples_per_second": 3.297,
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"eval_steps_per_second": 3.297,
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"train_loss": 2.5803672159309485,
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"train_runtime": 1034.6215,
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"train_samples": 2561,
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"train_samples_per_second": 0.74,
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"train_steps_per_second": 0.74
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_loss": 2.4906539916992188,
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"eval_runtime": 232.3523,
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"eval_samples": 2561,
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"eval_samples_per_second": 3.297,
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"eval_steps_per_second": 3.297
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}
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 2.5803672159309485,
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"train_runtime": 1034.6215,
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"train_samples": 2561,
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"train_samples_per_second": 0.74,
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"train_steps_per_second": 0.74
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}
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trainer_state.json
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