End of training

README.md

@@ -0,0 +1,81 @@
+---
+language:
+- ar
+license: apache-2.0
+base_model: nadsoft/hamsa-v0.1-beta
+tags:
+- generated_from_trainer
+datasets:
+- nadsoft/nadsoft-meetings
+metrics:
+- wer
+model-index:
+- name: Hamsa-meetings
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: nadsoft/nadsoft-meetings
+      type: nadsoft/nadsoft-meetings
+    metrics:
+    - name: Wer
+      type: wer
+      value: 38.58895705521472
+---
+
+<!-- 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. -->
+
+# Hamsa-meetings
+
+This model is a fine-tuned version of [nadsoft/hamsa-v0.1-beta](https://huggingface.co/nadsoft/hamsa-v0.1-beta) on the nadsoft/nadsoft-meetings dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7825
+- Wer Ortho: 38.5890
+- Wer: 38.5890
+
+## 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: 6.25e-06
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 0.3968        | 2.33  | 100  | 0.6252          | 40.3067   | 40.3067 |
+| 0.0793        | 4.65  | 200  | 0.6724          | 40.0      | 40.0    |
+| 0.0171        | 6.98  | 300  | 0.7306          | 38.2209   | 38.2209 |
+| 0.0054        | 9.3   | 400  | 0.7718          | 38.8957   | 38.8957 |
+| 0.0038        | 11.63 | 500  | 0.7825          | 38.5890   | 38.5890 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+}

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