End of training

README.md

@@ -1,68 +1,62 @@
----
-library_name: transformers
-license: mit
-base_model: microsoft/speecht5_tts
-tags:
-- generated_from_trainer
-datasets:
-- common_voice_13_0
-model-index:
-- name: speecht5_finetuned_emirhan_tr
-  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_emirhan_tr
-
-This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_13_0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5929
-
-## 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: 4
-- eval_batch_size: 2
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 32
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 100
-- training_steps: 500
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 0.7735        | 0.3972 | 100  | 0.7075          |
-| 0.7097        | 0.7944 | 200  | 0.6469          |
-| 0.6619        | 1.1917 | 300  | 0.6184          |
-| 0.6383        | 1.5889 | 400  | 0.6056          |
-| 0.6199        | 1.9861 | 500  | 0.5929          |
-
-
-### Framework versions
-
-- Transformers 4.44.2
-- Pytorch 2.4.0+cu121
-- Datasets 3.0.0
-- Tokenizers 0.19.1
+---
+library_name: transformers
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+model-index:
+- name: speecht5_finetuned_emirhan_tr
+  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_emirhan_tr
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.5463
+- eval_runtime: 39.7853
+- eval_samples_per_second: 22.496
+- eval_steps_per_second: 11.26
+- epoch: 11.1221
+- step: 2800
+
+## 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: 4
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 1.12.0+cu116
+- Datasets 3.0.0
+- Tokenizers 0.19.1

generation_config.json

@@ -1,4 +1,4 @@
-{
-  "max_length": 1876,
-  "transformers_version": "4.44.2"
-}
+{
+  "max_length": 1876,
+  "transformers_version": "4.44.2"
+}

model.safetensors

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 size 577789320

runs/Sep14_20-14-27_DESKTOP-VALMH2A/events.out.tfevents.1726334069.DESKTOP-VALMH2A

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