End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: facebook/seamless-m4t-v2-large
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+model-index:
+- name: seamless_turkish
+  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. -->
+
+# seamless_turkish
+
+This model is a fine-tuned version of [facebook/seamless-m4t-v2-large](https://huggingface.co/facebook/seamless-m4t-v2-large) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8235
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.7351        | 0.0215 | 1000 | 1.0948          |
+| 1.845         | 0.0431 | 2000 | 0.9485          |
+| 0.9842        | 0.0646 | 3000 | 0.8843          |
+| 1.1293        | 0.0862 | 4000 | 0.8417          |
+| 1.1266        | 0.1077 | 5000 | 0.8235          |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1