Model save

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2-1.5B
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: LawToken-1.5B-a2
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# LawToken-1.5B-a2
+
+This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7890
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 16
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 0.03
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.9326        | 0.28  | 10000 | 0.9843          |
+| 0.8644        | 0.56  | 20000 | 0.8726          |
+| 0.7873        | 0.85  | 30000 | 0.7890          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.3.0a0+ebedce2
+- Datasets 2.19.1
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.38.2"
+}

model.safetensors

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