Update README.md

README.md

@@ -1,67 +1,67 @@
----
-library_name: transformers
-license: mit
-base_model: microsoft/speecht5_tts
-tags:
-- generated_from_trainer
-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 an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4392
-
-## 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: 2e-05
-- train_batch_size: 2
-- eval_batch_size: 1
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 8
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 40
-- training_steps: 250
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch   | Step | Validation Loss |
-|:-------------:|:-------:|:----:|:---------------:|
-| 0.6078        | 2.2535  | 40   | 0.4783          |
-| 0.5393        | 4.5070  | 80   | 0.4533          |
-| 0.4864        | 6.7606  | 120  | 0.4480          |
-| 0.4846        | 9.0141  | 160  | 0.4493          |
-| 0.4628        | 11.2676 | 200  | 0.4383          |
-| 0.4731        | 13.5211 | 240  | 0.4392          |
-
-
-### Framework versions
-
-- Transformers 4.45.0.dev0
-- Pytorch 2.4.1+cu118
-- Datasets 3.0.0
-- Tokenizers 0.20.0
+---
+library_name: transformers
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: speecht5_finetuned_interview
+  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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4392
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 40
+- training_steps: 250
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.6078        | 2.2535  | 40   | 0.4783          |
+| 0.5393        | 4.5070  | 80   | 0.4533          |
+| 0.4864        | 6.7606  | 120  | 0.4480          |
+| 0.4846        | 9.0141  | 160  | 0.4493          |
+| 0.4628        | 11.2676 | 200  | 0.4383          |
+| 0.4731        | 13.5211 | 240  | 0.4392          |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.1+cu118
+- Datasets 3.0.0
+- Tokenizers 0.20.0