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ahmadmwali
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m2m_trial1

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End of training

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Files changed (9) hide show
  1. README.md +8 -8
  2. adapter_model.safetensors +1 -1
  3. all_results.json +13 -13
  4. eval_final_results.json +9 -9
  5. logs/events.out.tfevents.1748594726.c1279aa5eb8f.2392797.0 +3 -0
  6. logs/events.out.tfevents.1748601691.c1279aa5eb8f.2392797.1 +3 -0
  7. train_results.json +4 -4
  8. trainer_state.json +0 -0
  9. training_args.bin +1 -1
README.md CHANGED
@@ -20,12 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Bleu: 0.8249
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- - F1: 0.9232
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- - Wer: 0.0832
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- - Cer: 0.0268
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  - Meteor: 0.9148
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- - Loss: 6.1040
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  ## Model description
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@@ -57,9 +57,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Bleu | F1 | Wer | Cer | Meteor | Validation Loss |
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  |:-------------:|:-----:|:-----:|:------:|:------:|:------:|:------:|:------:|:---------------:|
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- | 6.1256 | 1.0 | 12500 | 0.7995 | 0.9118 | 0.0952 | 0.0304 | 0.9020 | 6.1150 |
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- | 6.1178 | 2.0 | 25000 | 0.8172 | 0.9199 | 0.0870 | 0.0282 | 0.9109 | 6.1073 |
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- | 6.1012 | 3.0 | 37500 | 0.8249 | 0.9232 | 0.0832 | 0.0268 | 0.9148 | 6.1040 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Bleu: 0.8239
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+ - F1: 0.9229
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+ - Wer: 0.0824
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+ - Cer: 0.0262
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  - Meteor: 0.9148
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+ - Loss: 6.1042
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  ## Model description
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  | Training Loss | Epoch | Step | Bleu | F1 | Wer | Cer | Meteor | Validation Loss |
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  |:-------------:|:-----:|:-----:|:------:|:------:|:------:|:------:|:------:|:---------------:|
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+ | 6.1256 | 1.0 | 12500 | 0.7992 | 0.9121 | 0.0950 | 0.0308 | 0.9022 | 6.1147 |
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+ | 6.1187 | 2.0 | 25000 | 0.8172 | 0.9198 | 0.0868 | 0.0281 | 0.9112 | 6.1067 |
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+ | 6.0999 | 3.0 | 37500 | 0.8239 | 0.9229 | 0.0824 | 0.0262 | 0.9148 | 6.1042 |
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  ### Framework versions
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