End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: speecht5_finetuned_librispeech_polish_epo6_batch2_gas3
+  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. -->
+
+# speecht5_finetuned_librispeech_polish_epo6_batch2_gas3
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3676
+
+## 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: 0.0001
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 3
+- total_train_batch_size: 6
+- optimizer: Use adamw_torch 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: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.4801        | 0.3836 | 100  | 0.4534          |
+| 1.4511        | 0.7673 | 200  | 0.4228          |
+| 1.3122        | 1.1496 | 300  | 0.4199          |
+| 1.285         | 1.5332 | 400  | 0.3972          |
+| 1.268         | 1.9169 | 500  | 0.3930          |
+| 1.2609        | 2.2992 | 600  | 0.3869          |
+| 1.2335        | 2.6829 | 700  | 0.3861          |
+| 1.2122        | 3.0652 | 800  | 0.3843          |
+| 1.2336        | 3.4488 | 900  | 0.3801          |
+| 1.2077        | 3.8325 | 1000 | 0.3783          |
+| 1.2312        | 4.2148 | 1100 | 0.3743          |
+| 1.1972        | 4.5985 | 1200 | 0.3710          |
+| 1.1902        | 4.9821 | 1300 | 0.3697          |
+| 1.1841        | 5.3645 | 1400 | 0.3697          |
+| 1.1713        | 5.7481 | 1500 | 0.3676          |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 1876,
+  "pad_token_id": 1,
+  "transformers_version": "4.47.1"
+}

model.safetensors

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+oid sha256:5d933cec3a8919126d09b9f7985c2c05d46c91e092eacde6791f35bb2c5201cb
 size 577789320