End of training

README.md

@@ -0,0 +1,84 @@
+---
+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: 43.449519230769226
+---
+
+<!-- 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: 0.9346
+- Wer Ortho: 43.4495
+- Wer: 43.4495
+
+## 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: 1e-05
+- 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: 500
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 0.4883        | 2.91  | 250  | 0.6170          | 40.2644   | 40.2644 |
+| 0.1678        | 5.81  | 500  | 0.6893          | 43.6899   | 43.6899 |
+| 0.0749        | 8.72  | 750  | 0.7367          | 42.0673   | 42.0673 |
+| 0.0352        | 11.63 | 1000 | 0.7829          | 42.6683   | 42.6683 |
+| 0.0214        | 14.53 | 1250 | 0.8553          | 43.9904   | 43.9904 |
+| 0.0146        | 17.44 | 1500 | 0.9061          | 43.3894   | 43.3894 |
+| 0.0112        | 20.35 | 1750 | 0.9225          | 44.2909   | 44.2909 |
+| 0.0104        | 23.26 | 2000 | 0.9346          | 43.4495   | 43.4495 |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+  "transformers_version": "4.36.0"
+}

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