Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: pretrained_model
+  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. -->
+
+# pretrained_model
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5383
+
+## 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: 0.0006
+- train_batch_size: 1024
+- eval_batch_size: 1024
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100000
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step   | Validation Loss |
+|:-------------:|:------:|:------:|:---------------:|
+| 0.5377        | 0.4546 | 100000 | 0.5496          |
+| 0.5313        | 0.9092 | 200000 | 0.5442          |
+| 0.5307        | 1.3639 | 300000 | 0.5422          |
+| 0.5282        | 1.8185 | 400000 | 0.5406          |
+| 0.5266        | 2.2731 | 500000 | 0.5393          |
+| 0.5248        | 2.7277 | 600000 | 0.5383          |
+
+
+### Framework versions
+
+- Transformers 4.51.1
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 3,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.51.1"
+}

model.safetensors

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