Model save
Browse files- README.md +69 -0
- generation_config.json +6 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen2-0.5B
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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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model-index:
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- name: LawToken-0.5B-a2
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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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# LawToken-0.5B-a2
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This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8634
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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: 0.0001
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 0.03
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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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| 1.14 | 0.14 | 10000 | 1.1605 |
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| 1.0485 | 0.28 | 20000 | 1.0663 |
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| 1.0592 | 0.42 | 30000 | 1.0069 |
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| 0.9293 | 0.56 | 40000 | 0.9609 |
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| 0.8503 | 0.71 | 50000 | 0.9210 |
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| 0.9322 | 0.85 | 60000 | 0.8858 |
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| 0.8238 | 0.99 | 70000 | 0.8634 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.3.0a0+ebedce2
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- Datasets 2.19.1
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- Tokenizers 0.15.2
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generation_config.json
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{
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"max_new_tokens": 2048,
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"transformers_version": "4.38.2"
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}
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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 2022013608
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version https://git-lfs.github.com/spec/v1
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oid sha256:2eebc309f796909a59c3ed3ad94490d4207240c5349662539db9fa720f6f3a19
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size 2022013608
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