End of training

README.md

@@ -1,3 +1,82 @@
----
-license: mit
----
+---
+library_name: transformers
+language:
+- bn
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- Bengali
+- generated_from_trainer
+datasets:
+- ucalyptus/train-bn
+model-index:
+- name: SpeechT5-tuned-bn
+  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-tuned-bn
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the train-bn dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6115
+
+## 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: 16
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9582        | 0.1805 | 100  | 0.8410          |
+| 0.8427        | 0.3610 | 200  | 0.7400          |
+| 0.7583        | 0.5415 | 300  | 0.6792          |
+| 0.744         | 0.7220 | 400  | 0.6601          |
+| 0.7088        | 0.9025 | 500  | 0.6473          |
+| 0.6847        | 1.0830 | 600  | 0.6369          |
+| 0.6921        | 1.2635 | 700  | 0.6359          |
+| 0.7143        | 1.4440 | 800  | 0.6462          |
+| 0.6815        | 1.6245 | 900  | 0.6241          |
+| 0.6759        | 1.8051 | 1000 | 0.6203          |
+| 0.6647        | 1.9856 | 1100 | 0.6171          |
+| 0.6558        | 2.1661 | 1200 | 0.6183          |
+| 0.6673        | 2.3466 | 1300 | 0.6138          |
+| 0.6574        | 2.5271 | 1400 | 0.6135          |
+| 0.649         | 2.7076 | 1500 | 0.6125          |
+| 0.6546        | 2.8881 | 1600 | 0.6115          |
+
+
+### Framework versions
+
+- Transformers 4.46.0.dev0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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": "4.46.0.dev0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ed871eac648ea17f7d1f9b5b1d6b7ba57ccd57aa96a234ab8fb59eaf54d55911
+oid sha256:151becd52d7d592158c63130d7971e76969dc2e8c12055331e29c1a3fafe3616
 size 577789320

runs/Oct15_11-45-13_88d9ff3a346d/events.out.tfevents.1728992717.88d9ff3a346d.619.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9f6cf0ed052eae9937d18845eacc1e2f14885fdbd519ce228aef2259eeda6bd1
-size 24858
+oid sha256:94688381126fc4493fc76fd8d04d3148b0ddcd190799c8654a924a1bbff20daf
+size 25212