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urarik
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t5-asr-CV16

Transformers
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Safetensors
umt5
text2text-generation
Generated from Trainer
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Metrics Community
urarik commited on
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End of training

Browse files
Files changed (20) hide show
  1. README.md +60 -60
  2. config.json +34 -34
  3. generation_config.json +7 -7
  4. model.safetensors +1 -1
  5. runs/Feb12_15-08-06_DESKTOP-IIBMKTP/events.out.tfevents.1739344088.DESKTOP-IIBMKTP.33380.0 +3 -0
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  13. runs/Feb12_16-06-08_DESKTOP-IIBMKTP/events.out.tfevents.1739347569.DESKTOP-IIBMKTP.23284.0 +3 -0
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  18. special_tokens_map.json +332 -332
  19. tokenizer_config.json +0 -0
  20. training_args.bin +2 -2
README.md CHANGED
@@ -1,60 +1,60 @@
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- ---
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- library_name: transformers
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- license: apache-2.0
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- base_model: google/umt5-small
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- tags:
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- - generated_from_trainer
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- model-index:
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- - name: t5-asr-CV16
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- results: []
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- ---
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-
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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- # t5-asr-CV16
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-
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- This model is a fine-tuned version of [google/umt5-small](https://huggingface.co/google/umt5-small) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - eval_loss: 1.6296
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- - eval_wer: 0.8576
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- - eval_runtime: 86.6124
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- - eval_samples_per_second: 98.531
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- - eval_steps_per_second: 3.083
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- - epoch: 2.9929
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- - step: 900
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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- - train_batch_size: 32
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- - eval_batch_size: 32
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- - seed: 42
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- - gradient_accumulation_steps: 8
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- - total_train_batch_size: 256
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- - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- - lr_scheduler_type: linear
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- - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 10
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-
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- ### Framework versions
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-
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- - Transformers 4.48.3
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- - Pytorch 2.5.1+cu121
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- - Datasets 2.17.1
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- - Tokenizers 0.21.0
 
1
+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: google/umt5-small
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+ tags:
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+ - generated_from_trainer
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+ model-index:
8
+ - name: t5-asr-CV16
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+ results: []
10
+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # t5-asr-CV16
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+
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+ This model is a fine-tuned version of [google/umt5-small](https://huggingface.co/google/umt5-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 1.5286
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+ - eval_wer: 0.9694
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+ - eval_runtime: 506.6751
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+ - eval_samples_per_second: 3.947
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+ - eval_steps_per_second: 0.987
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+ - epoch: 3.9956
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+ - step: 3320
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
37
+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 32
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+ - total_train_batch_size: 128
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 5
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.3
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.17.1
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+ - Tokenizers 0.21.0
config.json CHANGED
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- "transformers_version": "4.48.3",
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- "use_cache": true,
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- "vocab_size": 256384
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- }
 
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The diff for this file is too large to render. See raw diff
 
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