Training in progress, step 1000

README.md

@@ -1,54 +1,64 @@
----
-license: mit
-base_model: microsoft/speecht5_tts
-tags:
-- generated_from_trainer
-model-index:
-- name: speecht5_finetuned_hindi_mono
-  results: []
-language:
-- hi
----
-
-<!-- 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_hindi_mono
-
-This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Hindi dataset from Indic TTS (provided by IITM)
-It achieves the following results on the evaluation set:
-- Loss: 0.4357
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 4
-- eval_batch_size: 2
-- seed: 42
-- gradient_accumulation_steps: 8
-- 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
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch   | Step | Validation Loss |
-|:-------------:|:-------:|:----:|:---------------:|
-| 0.5391        | 4.3549  | 1000 | 0.4788          |
-| 0.4991        | 8.7099  | 2000 | 0.4492          |
-| 0.4851        | 13.0648 | 3000 | 0.4367          |
-| 0.4859        | 17.4197 | 4000 | 0.4357          |
-
-
-### Framework versions
-
-- Transformers 4.43.3
-- Pytorch 2.4.0+cu118
-- Datasets 3.0.1
-- Tokenizers 0.19.1
+---
+license: mit
+base_model: microsoft/speecht5_tts
+tags:
+- generated_from_trainer
+model-index:
+- name: speecht5_finetuned_hindi_mono
+  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_hindi_mono
+
+This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4357
+
+## 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: 4
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 0.5391        | 4.3549  | 1000 | 0.4788          |
+| 0.4991        | 8.7099  | 2000 | 0.4492          |
+| 0.4851        | 13.0648 | 3000 | 0.4367          |
+| 0.4859        | 17.4197 | 4000 | 0.4357          |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.4.0+cu118
+- Datasets 3.0.1
+- Tokenizers 0.19.1

config.json

@@ -64,7 +64,7 @@
   "mask_time_length": 10,
   "mask_time_min_masks": 2,
   "mask_time_prob": 0.05,
-  "max_length": 1876,
+  "max_length": null,
   "max_speech_positions": 1876,
   "max_text_positions": 600,
   "model_type": "speecht5",
@@ -85,7 +85,7 @@
   "speech_decoder_prenet_layers": 2,
   "speech_decoder_prenet_units": 256,
   "torch_dtype": "float32",
-  "transformers_version": "4.43.3",
+  "transformers_version": "4.45.2",
   "use_cache": false,
   "use_guided_attention_loss": true,
   "vocab_size": 81

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a09464ff8074de0340a8db4586fcf93a515aea74d10b9bc1ff87b71d853054cf
+oid sha256:2e355f3a9e9b8264d49034a843ba350787de937b0dbd4ea1cc4d41943532c062
 size 577789320

runs/Nov12_01-51-30_DESKTOP-BOFGR5O/events.out.tfevents.1731356571.DESKTOP-BOFGR5O.28348.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fbd5326634b7df0360ba59d1243e34984f850e9a0fc94d355f4fa2b0597b3955
+size 15298

runs/Oct22_05-50-37_DESKTOP-BOFGR5O/events.out.tfevents.1729556452.DESKTOP-BOFGR5O.21184.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:918828db57b2155a843bc9e1a87476249d4e3f80068c8f879299856be13cd388
+size 7675

tokenizer_config.json

@@ -50,7 +50,7 @@
     }
   },
   "bos_token": "<s>",
-  "clean_up_tokenization_spaces": true,
+  "clean_up_tokenization_spaces": false,
   "eos_token": "</s>",
   "mask_token": "<mask>",
   "model_max_length": 600,

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ead13ab101d69ffbc80172bfede8e5065f045740a1521f9693227c71ee700af8
+oid sha256:0997b5324a72d1fd59c7ea1525f34edfce58e28d76bb24b4cc0e8e172652d953
 size 5432