End of training

README.md

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+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: zlm_b64_le4_s12000
+  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. -->
+
+# zlm_b64_le4_s12000
+
+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: 0.3114
+
+## 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: 32
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2000
+- training_steps: 12000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss |
+|:-------------:|:-------:|:-----:|:---------------:|
+| 0.5487        | 0.4188  | 500   | 0.4746          |
+| 0.483         | 0.8375  | 1000  | 0.4227          |
+| 0.432         | 1.2563  | 1500  | 0.3983          |
+| 0.429         | 1.6750  | 2000  | 0.3953          |
+| 0.4168        | 2.0938  | 2500  | 0.3701          |
+| 0.4021        | 2.5126  | 3000  | 0.3613          |
+| 0.3925        | 2.9313  | 3500  | 0.3509          |
+| 0.3839        | 3.3501  | 4000  | 0.3506          |
+| 0.3798        | 3.7688  | 4500  | 0.3423          |
+| 0.3693        | 4.1876  | 5000  | 0.3375          |
+| 0.3712        | 4.6064  | 5500  | 0.3367          |
+| 0.3668        | 5.0251  | 6000  | 0.3316          |
+| 0.3635        | 5.4439  | 6500  | 0.3291          |
+| 0.3543        | 5.8626  | 7000  | 0.3250          |
+| 0.3526        | 6.2814  | 7500  | 0.3221          |
+| 0.3525        | 6.7002  | 8000  | 0.3218          |
+| 0.3513        | 7.1189  | 8500  | 0.3182          |
+| 0.346         | 7.5377  | 9000  | 0.3163          |
+| 0.3448        | 7.9564  | 9500  | 0.3162          |
+| 0.3563        | 8.3752  | 10000 | 0.3145          |
+| 0.3449        | 8.7940  | 10500 | 0.3126          |
+| 0.3436        | 9.2127  | 11000 | 0.3128          |
+| 0.3413        | 9.6315  | 11500 | 0.3121          |
+| 0.3397        | 10.0503 | 12000 | 0.3114          |
+
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_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": "4.41.0.dev0"
+}