Training complete

README.md

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+---
+license: cc-by-nc-4.0
+base_model: nadsoft/Faseeh-v0.1-beta
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: nllb200-ar-en-v2
+  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. -->
+
+# nllb200-ar-en-v2
+
+This model is a fine-tuned version of [nadsoft/Faseeh-v0.1-beta](https://huggingface.co/nadsoft/Faseeh-v0.1-beta) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8491
+- Bleu: 49.3964
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### 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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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 200,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.2"
+}

runs/Dec03_15-36-41_334ed81528ca/events.out.tfevents.1701621431.334ed81528ca.11254.1

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