End of training

README.md

@@ -1,3 +1,96 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- arrow
+metrics:
+- wer
+model-index:
+- name: dialect
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: arrow
+      type: arrow
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.0
+---
+
+<!-- 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. -->
+
+# dialect
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the arrow dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0001
+- Wer: 0.0
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Wer    |
+|:-------------:|:------:|:-----:|:---------------:|:------:|
+| 0.0444        | 0.2404 | 1000  | 0.0239          | 3.75   |
+| 0.0115        | 0.4808 | 2000  | 0.0157          | 1.5385 |
+| 0.0047        | 0.7212 | 3000  | 0.0844          | 4.4231 |
+| 0.0153        | 0.9615 | 4000  | 0.0050          | 0.6731 |
+| 0.0192        | 1.2019 | 5000  | 0.0017          | 0.1923 |
+| 0.0           | 1.4423 | 6000  | 0.0075          | 0.8654 |
+| 0.0           | 1.6827 | 7000  | 0.0002          | 0.0962 |
+| 0.0274        | 1.9231 | 8000  | 0.0195          | 2.2115 |
+| 0.0           | 2.1635 | 9000  | 0.0179          | 1.0577 |
+| 0.0402        | 2.4038 | 10000 | 0.0020          | 0.0962 |
+| 0.0161        | 2.6442 | 11000 | 0.0050          | 0.3846 |
+| 0.0009        | 2.8846 | 12000 | 0.0048          | 0.2885 |
+| 0.0           | 3.125  | 13000 | 0.0031          | 0.1923 |
+| 0.0           | 3.3654 | 14000 | 0.0029          | 0.1923 |
+| 0.0           | 3.6058 | 15000 | 0.0029          | 0.1923 |
+| 0.0           | 3.8462 | 16000 | 0.0043          | 0.1923 |
+| 0.0           | 4.0865 | 17000 | 0.0008          | 0.0962 |
+| 0.0           | 4.3269 | 18000 | 0.0000          | 0.0    |
+| 0.0           | 4.5673 | 19000 | 0.0000          | 0.0    |
+| 0.0           | 4.8077 | 20000 | 0.0001          | 0.0    |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "openai/whisper-small",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": false,
+  "architectures": [
+    "WhisperForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "begin_suppress_tokens": [
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+    50257
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+  "bos_token_id": 50257,
+  "classifier_proj_size": 256,
+  "d_model": 768,
+  "decoder_attention_heads": 12,
+  "decoder_ffn_dim": 3072,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 12,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.0,
+  "encoder_attention_heads": 12,
+  "encoder_ffn_dim": 3072,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 12,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
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+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "max_length": 448,
+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
+  "num_hidden_layers": 12,
+  "num_mel_bins": 80,
+  "pad_token_id": 50257,
+  "scale_embedding": false,
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+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51865
+}

generation_config.json

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+}

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