Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/hubert-large-ll60k
+tags:
+- generated_from_trainer
+model-index:
+- name: hubert-large-ll60k-gui-ufe
+  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. -->
+
+# hubert-large-ll60k-gui-ufe
+
+This model is a fine-tuned version of [facebook/hubert-large-ll60k](https://huggingface.co/facebook/hubert-large-ll60k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0332
+- Cer: 1.0
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- 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
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Cer |
+|:-------------:|:------:|:----:|:---------------:|:---:|
+| 12.7179       | 0.4329 | 100  | 2.9635          | 1.0 |
+| 5.9177        | 0.8658 | 200  | 2.9109          | 1.0 |
+| 5.9451        | 1.2987 | 300  | 2.9614          | 1.0 |
+| 5.9373        | 1.7316 | 400  | 2.9688          | 1.0 |
+| 6.0992        | 2.1645 | 500  | 2.9031          | 1.0 |
+| 5.8871        | 2.5974 | 600  | 2.8871          | 1.0 |
+| 5.9773        | 3.0303 | 700  | 2.9620          | 1.0 |
+| 6.0069        | 3.4632 | 800  | 2.9517          | 1.0 |
+| 5.9892        | 3.8961 | 900  | 2.9592          | 1.0 |
+| 5.9731        | 4.3290 | 1000 | 2.9473          | 1.0 |
+| 5.9879        | 4.7619 | 1100 | 2.9479          | 1.0 |
+| 6.0309        | 5.1948 | 1200 | 2.9910          | 1.0 |
+| 5.9473        | 5.6277 | 1300 | 2.9572          | 1.0 |
+| 6.0225        | 6.0606 | 1400 | 2.9512          | 1.0 |
+| 6.0506        | 6.4935 | 1500 | 2.9782          | 1.0 |
+| 6.0465        | 6.9264 | 1600 | 2.9807          | 1.0 |
+| 6.0775        | 7.3593 | 1700 | 2.9781          | 1.0 |
+| 6.0678        | 7.7922 | 1800 | 2.9842          | 1.0 |
+| 6.0392        | 8.2251 | 1900 | 2.9986          | 1.0 |
+| 6.1305        | 8.6580 | 2000 | 3.0216          | 1.0 |
+| 6.1608        | 9.0909 | 2100 | 3.0306          | 1.0 |
+| 6.1697        | 9.5238 | 2200 | 3.0266          | 1.0 |
+| 6.1319        | 9.9567 | 2300 | 3.0332          | 1.0 |
+
+
+### Framework versions
+
+- Transformers 5.1.0
+- Pytorch 2.9.1+cu128
+- Datasets 3.6.0
+- Tokenizers 0.22.2

model.safetensors

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