End of training

README.md

@@ -1,199 +1,85 @@
 ---
-library_name: transformers
-tags: []
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: speecht5_tts-wolof-v0.2
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
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-## Model Details
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-### Model Description
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+<!-- 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_tts-wolof-v0.2
+
+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: 0.3924
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss |
+|:-------------:|:-------:|:-----:|:---------------:|
+| 0.5083        | 0.9997  | 1908  | 0.4490          |
+| 0.4789        | 2.0     | 3817  | 0.4399          |
+| 0.4684        | 2.9997  | 5725  | 0.4297          |
+| 0.4549        | 4.0     | 7634  | 0.4173          |
+| 0.4448        | 4.9997  | 9542  | 0.4123          |
+| 0.443         | 6.0     | 11451 | 0.4080          |
+| 0.4368        | 6.9997  | 13359 | 0.4059          |
+| 0.4351        | 8.0     | 15268 | 0.4030          |
+| 0.4319        | 8.9997  | 17176 | 0.4027          |
+| 0.4298        | 10.0    | 19085 | 0.4005          |
+| 0.4286        | 10.9997 | 20993 | 0.3996          |
+| 0.428         | 12.0    | 22902 | 0.3989          |
+| 0.4251        | 12.9997 | 24810 | 0.3962          |
+| 0.4257        | 14.0    | 26719 | 0.3971          |
+| 0.4213        | 14.9997 | 28627 | 0.3956          |
+| 0.4245        | 16.0    | 30536 | 0.3949          |
+| 0.4186        | 16.9997 | 32444 | 0.3950          |
+| 0.4213        | 18.0    | 34353 | 0.3948          |
+| 0.4179        | 18.9997 | 36261 | 0.3943          |
+| 0.4177        | 20.0    | 38170 | 0.3952          |
+| 0.416         | 20.9997 | 40078 | 0.3932          |
+| 0.4167        | 22.0    | 41987 | 0.3921          |
+| 0.4148        | 22.9997 | 43895 | 0.3935          |
+| 0.4133        | 24.0    | 45804 | 0.3938          |
+| 0.4169        | 24.9997 | 47712 | 0.3924          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.2.0
+- Tokenizers 0.19.1

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": "4.41.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
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