Model save

README.md

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+---
+base_model: cantillation/Teamim-large-v2_Random-True_OldData_date-07-06-2024_16-07-57
+tags:
+- generated_from_trainer
+model-index:
+- name: Teamim-large-v2_Random-True_date-08-06-2024_20-46-59
+  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. -->
+
+# Teamim-large-v2_Random-True_date-08-06-2024_20-46-59
+
+This model is a fine-tuned version of [cantillation/Teamim-large-v2_Random-True_OldData_date-07-06-2024_16-07-57](https://huggingface.co/cantillation/Teamim-large-v2_Random-True_OldData_date-07-06-2024_16-07-57) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.0899
+- eval_wer: 9.8928
+- eval_avg_precision_Exact: 0.9232
+- eval_avg_recall_Exact: 0.9228
+- eval_avg_f1_Exact: 0.9227
+- eval_avg_precision_Letter_Shift: 0.9383
+- eval_avg_recall_Letter_Shift: 0.9381
+- eval_avg_f1_Letter_Shift: 0.9379
+- eval_avg_precision_Word_Level: 0.9405
+- eval_avg_recall_Word_Level: 0.9404
+- eval_avg_f1_Word_Level: 0.9401
+- eval_avg_precision_Word_Shift: 0.9772
+- eval_avg_recall_Word_Shift: 0.9777
+- eval_avg_f1_Word_Shift: 0.9771
+- eval_precision_median_exact: 1.0
+- eval_recall_median_exact: 1.0
+- eval_f1_median_exact: 1.0
+- eval_precision_max_exact: 1.0
+- eval_recall_max_exact: 1.0
+- eval_f1_max_exact: 1.0
+- eval_precision_min_Exact: 0.0
+- eval_recall_min_Exact: 0.0
+- eval_f1_min_Exact: 0.0
+- eval_precision_min_Letter_Shift: 0.0
+- eval_recall_min_Letter_Shift: 0.0
+- eval_f1_min_Letter_Shift: 0.0
+- eval_precision_min_Word_Level: 0.0
+- eval_recall_min_Word_Level: 0.0
+- eval_f1_min_Word_Level: 0.0
+- eval_precision_min_Word_Shift: 0.1429
+- eval_recall_min_Word_Shift: 0.1
+- eval_f1_min_Word_Shift: 0.1176
+- eval_runtime: 2336.8917
+- eval_samples_per_second: 1.152
+- eval_steps_per_second: 0.036
+- epoch: 0.56
+- step: 7000
+
+## 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: 8
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 8000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 1.13.1+cu117
+- Datasets 2.16.1
+- Tokenizers 0.19.1

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+}

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