End of training

README.md

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+---
+library_name: transformers
+license: gemma
+base_model: google/gemma-3-1b-pt
+tags:
+- generated_from_trainer
+model-index:
+- name: gemma_3_1b_causal_finetune
+  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_causal_finetune
+
+This model is a fine-tuned version of [google/gemma-3-1b-pt](https://huggingface.co/google/gemma-3-1b-pt) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1655
+
+## 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: 4.9437983806413086e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- 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: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4075        | 1.0   | 24   | 0.1655          |
+
+
+### Framework versions
+
+- Transformers 4.50.0.dev0
+- Pytorch 2.6.0
+- Datasets 3.4.0
+- Tokenizers 0.21.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.50.0.dev0"
+}