End of training

README.md

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+---
+language:
+- spa
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- CIEMPIESS
+metrics:
+- wer
+model-index:
+- name: Whisper Small Spanish
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: CIEMPIESS
+      type: CIEMPIESS
+      args: 'config: spa, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.38445504655148455
+---
+
+<!-- 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 Spanish
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the CIEMPIESS dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0152
+- Wer: 0.3845
+
+## 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: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.2277        | 0.4484 | 100  | 0.2420          | 9.5187 |
+| 0.2788        | 0.8969 | 200  | 0.1965          | 7.9300 |
+| 0.1799        | 1.3453 | 300  | 0.1541          | 6.9804 |
+| 0.158         | 1.7937 | 400  | 0.1121          | 5.4762 |
+| 0.0926        | 2.2422 | 500  | 0.0810          | 4.1792 |
+| 0.0912        | 2.6906 | 600  | 0.0584          | 3.7438 |
+| 0.0451        | 3.1390 | 700  | 0.0364          | 2.4318 |
+| 0.0416        | 3.5874 | 800  | 0.0261          | 1.3271 |
+| 0.0312        | 4.0359 | 900  | 0.0178          | 0.4736 |
+| 0.015         | 4.4843 | 1000 | 0.0152          | 0.3845 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      5,
+      3
+    ],
+    [
+      5,
+      9
+    ],
+    [
+      8,
+      0
+    ],
+    [
+      8,
+      4
+    ],
+    [
+      8,
+      7
+    ],
+    [
+      8,
+      8
+    ],
+    [
+      9,
+      0
+    ],
+    [
+      9,
+      7
+    ],
+    [
+      9,
+      9
+    ],
+    [
+      10,
+      5
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
+    "<|az|>": 50304,
+    "<|ba|>": 50355,
+    "<|be|>": 50330,
+    "<|bg|>": 50292,
+    "<|bn|>": 50302,
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+    "<|fr|>": 50265,
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+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|zh|>": 50260
+  },
+  "language": "spanish",
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
+  "suppress_tokens": [
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+  "task": "transcribe",
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.40.2"
+}