End of training

README.md

@@ -0,0 +1,71 @@
+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: facebook/mms-1b-all
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: training
+  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. -->
+
+# training
+
+This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: inf
+- Wer: 0.6708
+
+## 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: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- 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: 500
+- num_epochs: 25
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 8.5386        | 0.9852 | 500  | 0.9350          | 0.6554 |
+| 2.1625        | 1.9695 | 1000 | 0.8697          | 0.6609 |
+| 2.3315        | 2.9537 | 1500 | 1.0419          | 0.7250 |
+| 2.6960        | 3.9379 | 2000 | 1.1913          | 0.7419 |
+| 2.8073        | 4.9222 | 2500 | 1.1913          | 0.7419 |
+| 2.8293        | 5.9064 | 3000 | 1.1912          | 0.7419 |
+| 2.8210        | 6.8906 | 3500 | 1.1912          | 0.7420 |
+
+
+### Framework versions
+
+- Transformers 5.0.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.6.0
+- Tokenizers 0.22.1

adapter.khm.safetensors

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config.json

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   "transformers_version": "5.0.0.dev0",
   "use_cache": false,
   "use_weighted_layer_sum": false,
-  "vocab_size": 151,
+  "vocab_size": 102,
   "xvector_output_dim": 512
 }

model.safetensors

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preprocessor_config.json

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   "feature_size": 1,
   "padding_side": "right",
   "padding_value": 0.0,
+  "processor_class": "Wav2Vec2Processor",
   "return_attention_mask": true,
   "sampling_rate": 16000
 }

runs/Dec17_19-38-48_Hong/events.out.tfevents.1765975128.Hong

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runs/Dec17_19-38-48_Hong/events.out.tfevents.1765979809.Hong

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training_args.bin

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