Model save

README.md

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+---
+library_name: transformers
+license: gemma
+base_model: google/gemma-3-1b-it
+tags:
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: gemma-3-1b-it_MED_NLI
+  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. -->
+
+# gemma-3-1b-it_MED_NLI
+
+This model is a fine-tuned version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0177
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0331        | 0.1176 | 1000 | 0.0379          |
+| 0.0299        | 0.2352 | 2000 | 0.0262          |
+| 0.0251        | 0.3528 | 3000 | 0.0284          |
+| 0.0213        | 0.4704 | 4000 | 0.0252          |
+| 0.0264        | 0.5880 | 5000 | 0.0222          |
+| 0.0183        | 0.7056 | 6000 | 0.0191          |
+| 0.0171        | 0.8232 | 7000 | 0.0179          |
+| 0.0185        | 0.9408 | 8000 | 0.0177          |
+
+
+### Framework versions
+
+- Transformers 4.50.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "do_sample": true,
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "pad_token_id": 0,
+  "top_k": 64,
+  "top_p": 0.95,
+  "transformers_version": "4.50.0"
+}