Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen3-0.6B
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: qwen-test
+  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. -->
+
+# qwen-test
+
+This model is a fine-tuned version of [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3737
+
+## 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: 0.001
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3283        | 1.0   | 900  | 0.3737          |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.9.0+cpu
+- Datasets 4.2.0
+- Tokenizers 0.22.1

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 0.3737316429615021,
+    "eval_runtime": 15.718,
+    "eval_samples_per_second": 6.362,
+    "eval_steps_per_second": 0.827,
+    "perplexity": 1.4531471358657302
+}

eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_loss": 0.3737316429615021,
+    "eval_runtime": 15.718,
+    "eval_samples_per_second": 6.362,
+    "eval_steps_per_second": 0.827,
+    "perplexity": 1.4531471358657302
+}

model.safetensors

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