Model save
Browse files- README.md +83 -0
- adapter_model.safetensors +1 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +2500 -0
README.md
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| 1 |
+
---
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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-zhihu7
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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-zhihu7
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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: 2.5970
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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: 5e-06
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- train_batch_size: 8
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- eval_batch_size: 4
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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: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.6831 | 1.0 | 96 | 2.6346 |
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| 2.6684 | 2.0 | 192 | 2.6288 |
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| 2.687 | 3.0 | 288 | 2.6192 |
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| 2.6597 | 4.0 | 384 | 2.6109 |
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| 2.6019 | 5.0 | 480 | 2.6054 |
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| 2.6118 | 6.0 | 576 | 2.6022 |
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| 2.7286 | 7.0 | 672 | 2.6001 |
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| 2.6341 | 8.0 | 768 | 2.5987 |
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| 2.572 | 9.0 | 864 | 2.5979 |
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| 2.622 | 10.0 | 960 | 2.5974 |
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| 2.6404 | 11.0 | 1056 | 2.5972 |
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| 2.6607 | 12.0 | 1152 | 2.5971 |
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| 2.5324 | 13.0 | 1248 | 2.5971 |
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| 2.5472 | 14.0 | 1344 | 2.5970 |
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| 2.539 | 15.0 | 1440 | 2.5970 |
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| 2.5757 | 16.0 | 1536 | 2.5971 |
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| 2.6495 | 17.0 | 1632 | 2.5970 |
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| 2.5647 | 18.0 | 1728 | 2.5970 |
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| 2.5605 | 19.0 | 1824 | 2.5970 |
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| 2.6608 | 20.0 | 1920 | 2.5970 |
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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:e0958d3770731713b02a399c1472f77e89ff908ae5582cf155401a8c9f9aced4
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size 72673912
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all_results.json
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{
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"epoch": 20.0,
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"eval_loss": 2.5970427989959717,
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"eval_runtime": 173.4328,
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"eval_samples": 2561,
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| 6 |
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"eval_samples_per_second": 4.417,
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"eval_steps_per_second": 1.107,
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"train_loss": 2.604488531500101,
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"train_runtime": 14508.1949,
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"train_samples": 2561,
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"train_samples_per_second": 1.056,
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"train_steps_per_second": 0.132
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}
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eval_results.json
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{
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"epoch": 20.0,
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"eval_loss": 2.5970427989959717,
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"eval_runtime": 173.4328,
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"eval_samples": 2561,
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"eval_samples_per_second": 4.417,
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"eval_steps_per_second": 1.107
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}
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train_results.json
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{
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"epoch": 20.0,
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"train_loss": 2.604488531500101,
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"train_runtime": 14508.1949,
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"train_samples": 2561,
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"train_samples_per_second": 1.056,
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"train_steps_per_second": 0.132
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}
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trainer_state.json
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