End of training

.ipynb_checkpoints/README-checkpoint.md

@@ -0,0 +1,85 @@
+---
+language:
+- dv
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Dv - Peter Gelderbloem
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 13
+      type: mozilla-foundation/common_voice_13_0
+      config: dv
+      split: None
+    metrics:
+    - name: Wer
+      type: wer
+      value: 11.249434920193343
+---
+
+<!-- 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. -->
+
+# Whisper Small Dv - Peter Gelderbloem
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2863
+- Wer Ortho: 57.7129
+- Wer: 11.2494
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 50
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Wer Ortho |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
+| 0.1248        | 1.63  | 500  | 0.1684          | 12.9881 | 62.0447   |
+| 0.0484        | 3.26  | 1000 | 0.1629          | 11.6493 | 58.6113   |
+| 0.0315        | 4.89  | 1500 | 0.1878          | 11.7224 | 58.9386   |
+| 0.0125        | 6.51  | 2000 | 0.2308          | 11.0895 | 57.2185   |
+| 0.0058        | 8.14  | 2500 | 0.2671          | 11.0773 | 57.6224   |
+| 0.0049        | 9.77  | 3000 | 0.2843          | 11.2564 | 57.6572   |
+| 0.0033        | 11.4  | 3500 | 0.2845          | 11.0982 | 57.1558   |
+| 0.0046        | 13.03 | 4000 | 0.2863          | 57.7129 | 11.2494   |
+
+
+### Framework versions
+
+- Transformers 4.31.0.dev0
+- Pytorch 1.12.1+cu116
+- Datasets 2.4.0
+- Tokenizers 0.12.1

.ipynb_checkpoints/config-checkpoint.json

@@ -0,0 +1,152 @@
+{
+  "_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": [
+    220,
+    50257
+  ],
+  "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": [
+    [
+      1,
+      50259
+    ],
+    [
+      2,
+      50359
+    ],
+    [
+      3,
+      50363
+    ]
+  ],
+  "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,
+  "suppress_tokens": [
+    1,
+    2,
+    7,
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+    10,
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+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.31.0.dev0",
+  "use_cache": false,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51865
+}

README.md

@@ -18,7 +18,7 @@ model-index:
     dataset:
       name: Common Voice 13
       type: mozilla-foundation/common_voice_13_0
-      config: null
+      config: dv
       split: None
     metrics:
     - name: Wer