End of training

README.md

@@ -0,0 +1,76 @@
+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: ceb_b128_le4_s8000
+  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. -->
+
+# ceb_b128_le4_s8000
+
+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: 0.4096
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2000
+- training_steps: 8000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss |
+|:-------------:|:--------:|:----:|:---------------:|
+| 0.4432        | 39.6040  | 500  | 0.4058          |
+| 0.4129        | 79.2079  | 1000 | 0.3996          |
+| 0.3992        | 118.8119 | 1500 | 0.3986          |
+| 0.3814        | 158.4158 | 2000 | 0.3966          |
+| 0.3688        | 198.0198 | 2500 | 0.4021          |
+| 0.3574        | 237.6238 | 3000 | 0.4000          |
+| 0.3482        | 277.2277 | 3500 | 0.3990          |
+| 0.3421        | 316.8317 | 4000 | 0.4014          |
+| 0.3414        | 356.4356 | 4500 | 0.4059          |
+| 0.3328        | 396.0396 | 5000 | 0.4065          |
+| 0.3277        | 435.6436 | 5500 | 0.4062          |
+| 0.3248        | 475.2475 | 6000 | 0.4069          |
+| 0.3245        | 514.8515 | 6500 | 0.4071          |
+| 0.3219        | 554.4554 | 7000 | 0.4096          |
+| 0.3227        | 594.0594 | 7500 | 0.4112          |
+| 0.3191        | 633.6634 | 8000 | 0.4096          |
+
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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": "4.41.0.dev0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:407f8b09ccec112e2cc7d59946a98954d64f4e699d5a94d34d2034a4d99a9edd
+oid sha256:c0064f8fd298e37eb4763023c72adcd64546730997a3acd1f337ef82629f5ed6
 size 577789320

runs/May03_22-26-56_f0435798fb81/events.out.tfevents.1714775218.f0435798fb81.182.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3ad43669f54cd444051970754da97d20d16cca6d0dc3f988817c3f3ba626f71d
-size 44581
+oid sha256:edd4e8ad2556719cd570e59ef5a3e966703849cbb732d4c5bf8bcfb5b01d9c66
+size 44935