Model save

README.md

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+---
+license: apache-2.0
+base_model: othrif/wav2vec2-large-xlsr-arabic
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- f1
+model-index:
+- name: sentiment_analysis_model
+  results: []
+---
+
+<!-- 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. -->
+
+# sentiment_analysis_model
+
+This model is a fine-tuned version of [othrif/wav2vec2-large-xlsr-arabic](https://huggingface.co/othrif/wav2vec2-large-xlsr-arabic) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3312
+- Accuracy: 0.7107
+- Precision: 0.1777
+- F1: 0.2077
+
+## 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: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|
+| No log        | 1.0   | 4    | 1.3312          | 0.7107   | 0.1777    | 0.2077 |
+| No log        | 2.0   | 8    | 1.2993          | 0.7107   | 0.1777    | 0.2077 |
+| 1.3368        | 3.0   | 12   | 1.2879          | 0.7107   | 0.1777    | 0.2077 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.15.2

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runs/May01_16-50-01_slurm-a100-gpu-h22a2-u14-sv/events.out.tfevents.1746115454.slurm-a100-gpu-h22a2-u14-sv

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