End of training

README.md

@@ -0,0 +1,91 @@
+---
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-300m
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: wav2vec2-large-xls-r-300m-breton-colab_steps
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: br
+      split: test
+      args: br
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.6331890331890332
+---
+
+<!-- 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-large-xls-r-300m-breton-colab_steps
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8679
+- Wer: 0.6332
+
+## 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: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 8.1465        | 0.34  | 100  | 3.2097          | 1.0    |
+| 3.0881        | 0.67  | 200  | 3.1553          | 1.0    |
+| 2.9806        | 1.01  | 300  | 2.8935          | 1.0    |
+| 2.4358        | 1.34  | 400  | 1.9377          | 0.9969 |
+| 1.6209        | 1.68  | 500  | 1.4847          | 0.9261 |
+| 1.3041        | 2.02  | 600  | 1.2606          | 0.8709 |
+| 1.0579        | 2.35  | 700  | 1.1833          | 0.8313 |
+| 0.9606        | 2.69  | 800  | 1.0614          | 0.7868 |
+| 0.8849        | 3.03  | 900  | 0.9820          | 0.7542 |
+| 0.7024        | 3.36  | 1000 | 0.9771          | 0.7162 |
+| 0.6754        | 3.7   | 1100 | 0.9273          | 0.6900 |
+| 0.5941        | 4.03  | 1200 | 0.9015          | 0.6705 |
+| 0.4939        | 4.37  | 1300 | 0.9043          | 0.6470 |
+| 0.4909        | 4.71  | 1400 | 0.8679          | 0.6332 |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:39d4cbac2fb47a4062fff7974ec6377b84bcda76a24f811415e59d30e78d6f3c
+oid sha256:363ad0e9af501cea0bf02b9d432c79cdc53662e6d705c94bb8408c737e9ccdf8
 size 1262078125