Update README.md

README.md

@@ -1,67 +1,68 @@
----
-license: mit
-base_model: microsoft/speecht5_tts
-tags:
-- generated_from_trainer
-datasets:
-- facebook/voxpopuli
-model-index:
-- name: speecht5_finetuned_voxpopuli_nl_10000
-  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_voxpopuli_nl_10000
-
-This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4738
-
-## 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: 2
-- eval_batch_size: 2
-- seed: 42
-- gradient_accumulation_steps: 8
-- 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
-- training_steps: 2500
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 0.5645        | 1.5619 | 500  | 0.5125          |
-| 0.5299        | 3.1238 | 1000 | 0.4888          |
-| 0.5206        | 4.6857 | 1500 | 0.4778          |
-| 0.5118        | 6.2476 | 2000 | 0.4747          |
-| 0.5148        | 7.8094 | 2500 | 0.4738          |
-
-
-### Framework versions
-
-- Transformers 4.44.0
-- Pytorch 2.1.1+cu118
-- Datasets 2.20.0
-- Tokenizers 0.19.1
+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+datasets:
+- facebook/voxpopuli
+model-index:
+- name: speecht5_finetuned_voxpopuli_nl_10000
+  results: []
+pipeline_tag: text-to-speech
+---
+
+<!-- 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_voxpopuli_nl_10000
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the facebook/voxpopuli dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4738
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- 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
+- training_steps: 2500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.5645        | 1.5619 | 500  | 0.5125          |
+| 0.5299        | 3.1238 | 1000 | 0.4888          |
+| 0.5206        | 4.6857 | 1500 | 0.4778          |
+| 0.5118        | 6.2476 | 2000 | 0.4747          |
+| 0.5148        | 7.8094 | 2500 | 0.4738          |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.1.1+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1