End of training

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: wav2vec2-gpt2-enc-dec
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: cs
+      split: train+validation
+      args: cs
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.0114942528735633
+---
+
+<!-- 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. -->
+
+# wav2vec2-gpt2-enc-dec
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3875
+- Wer: 1.0115
+
+## 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: 0.0005
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.08
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Wer    |
+|:-------------:|:-------:|:-----:|:---------------:|:------:|
+| 0.5699        | 2.1942  | 2000  | 0.5029          | 0.9499 |
+| 0.4929        | 4.3884  | 4000  | 0.4351          | 0.9349 |
+| 0.4568        | 6.5826  | 6000  | 0.3928          | 0.9080 |
+| 0.4274        | 8.7767  | 8000  | 0.3524          | 0.8848 |
+| 0.389         | 10.9709 | 10000 | 0.3127          | 0.8331 |
+| 0.6396        | 13.1651 | 12000 | 0.5697          | 0.9324 |
+| 2.5933        | 15.3593 | 14000 | 2.3935          | 1.0109 |
+| 2.5858        | 17.5535 | 16000 | 2.3892          | 1.0120 |
+| 2.5724        | 19.7477 | 18000 | 2.3875          | 1.0115 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "decoder_start_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.45.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8d60185d19f331518edb8857d17b658e8510bc3c7ff2e99bc00ccf00fe0a0bf0
 size 988766816