End of training

README.md

@@ -0,0 +1,84 @@
+---
+license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_6_1
+metrics:
+- wer
+model-index:
+- name: wav2vec2-large-morrnla-ar-colab
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_6_1
+      type: common_voice_6_1
+      config: ar
+      split: test[10:20]
+      args: ar
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.0
+---
+
+<!-- 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-morrnla-ar-colab
+
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_6_1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5524
+- Wer: 1.0
+
+## 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: 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_steps: 20
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 16.4983       | 3.33  | 10   | 23.6467         | 1.0 |
+| 8.0393        | 6.67  | 20   | 7.4047          | 1.0 |
+| 4.2297        | 10.0  | 30   | 4.1771          | 1.0 |
+| 3.6003        | 13.33 | 40   | 3.8565          | 1.0 |
+| 3.4788        | 16.67 | 50   | 3.5921          | 1.0 |
+| 3.4111        | 20.0  | 60   | 3.5524          | 1.0 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f96752de31ce3e8366cd56fa1cc8d3edae79f195712b3f843ea57287fc4e2f2f
+oid sha256:5017c1815d3563effcc2263a267c37929d16e56172ba4871babbb04676689e44
 size 1262016580

runs/Dec12_12-00-39_652f9aba311e/events.out.tfevents.1702382451.652f9aba311e.353.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ffe3414fac33ed97f7dfc031962718d523aec9ecb87ca8ab272bcbcfd6a5de5b
-size 8397
+oid sha256:7a93343905778c2c4af7809593b37a1de923c697abc6156850b5ff00d2db6cd5
+size 9211