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Model: ferrazzipietro/unsup-Qwen3-1.7B-datav3
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen3-1.7B
+tags:
+- generated_from_trainer
+model-index:
+- name: unsup-Qwen3-1.7B-datav3
+  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. -->
+
+# unsup-Qwen3-1.7B-datav3
+
+This model is a fine-tuned version of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2568
+
+## 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: 0.0003
+- train_batch_size: 128
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 512
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 4.2641        | 0.0624 | 1000  | 0.3924          |
+| 4.2102        | 0.1247 | 2000  | 0.3755          |
+| 3.6754        | 0.1871 | 3000  | 0.3278          |
+| 3.4875        | 0.2494 | 4000  | 0.3120          |
+| 3.4383        | 0.3118 | 5000  | 0.2955          |
+| 3.0117        | 0.3741 | 6000  | 0.2865          |
+| 2.9805        | 0.4365 | 7000  | 0.2790          |
+| 2.5125        | 0.4988 | 8000  | 0.2720          |
+| 2.4559        | 0.5612 | 9000  | 0.2633          |
+| 2.5172        | 0.6235 | 10000 | 0.2570          |
+| 2.2059        | 0.6859 | 11000 | 0.2528          |
+| 1.973         | 0.7482 | 12000 | 0.2564          |
+| 1.9219        | 0.8106 | 13000 | 0.2556          |
+| 1.643         | 0.8729 | 14000 | 0.2570          |
+| 1.9918        | 0.9353 | 15000 | 0.2564          |
+| 1.8969        | 0.9976 | 16000 | 0.2568          |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.8.0+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.0