End of training

README.md

@@ -0,0 +1,65 @@
+---
+license: mit
+base_model: GCYY/speecht5_finetuned_fleurs_zh
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+model-index:
+- name: speecht5_finetuned_zh-TW
+  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_zh-TW
+
+This model is a fine-tuned version of [GCYY/speecht5_finetuned_fleurs_zh](https://huggingface.co/GCYY/speecht5_finetuned_fleurs_zh) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5108
+
+## 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: 4
+- 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: 500
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5844        | 6.62  | 1000 | 0.5454          |
+| 0.5495        | 13.25 | 2000 | 0.5215          |
+| 0.5536        | 19.87 | 3000 | 0.5176          |
+| 0.5257        | 26.49 | 4000 | 0.5108          |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1
+- Datasets 2.14.5
+- Tokenizers 0.13.3

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": "4.33.3"
+}