Model save

README.md

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+---
+license: apache-2.0
+base_model: qanastek/whisper-small-french-uncased
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_0
+metrics:
+- wer
+model-index:
+- name: qanastek/whisper-small-french-uncased
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_16_0
+      type: common_voice_16_0
+      config: fr
+      split: test
+      args: fr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 15.470714142118894
+---
+
+<!-- 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. -->
+
+# qanastek/whisper-small-french-uncased
+
+This model is a fine-tuned version of [qanastek/whisper-small-french-uncased](https://huggingface.co/qanastek/whisper-small-french-uncased) on the common_voice_16_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3791
+- Wer: 15.4707
+
+## 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: 5e-07
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.9295        | 0.2   | 100  | 0.8014          | 15.1845 |
+| 0.2976        | 0.4   | 200  | 0.4207          | 16.0289 |
+| 0.2699        | 0.59  | 300  | 0.3999          | 15.8267 |
+| 0.2773        | 0.79  | 400  | 0.3910          | 15.7267 |
+| 0.2631        | 0.99  | 500  | 0.3863          | 15.5972 |
+| 0.2487        | 1.19  | 600  | 0.3834          | 15.5907 |
+| 0.2477        | 1.39  | 700  | 0.3814          | 15.6156 |
+| 0.2428        | 1.59  | 800  | 0.3801          | 15.4902 |
+| 0.2492        | 1.78  | 900  | 0.3794          | 15.4672 |
+| 0.2471        | 1.98  | 1000 | 0.3791          | 15.4707 |
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.2.dev0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "max_length": 448,
+  "pad_token_id": 50257,
+  "transformers_version": "4.38.0.dev0",
+  "use_cache": false
+}

model.safetensors

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runs/Jan23_19-15-03_ip-172-31-68-44/events.out.tfevents.1706039011.ip-172-31-68-44.32867.0

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