Training and Evaluation complete

README.md

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+---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-en-ar
+tags:
+- translation
+- generated_from_trainer
+model-index:
+- name: Text2Gloss_ar
+  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. -->
+
+# Text2Gloss_ar
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0336
+- Word Bleu: 96.3751
+- Char Bleu: 98.5195
+
+## 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: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Word Bleu | Char Bleu |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:---------:|
+| 3.0445        | 1.0   | 190  | 1.0130          | 14.7298   | 31.5277   |
+| 0.863         | 2.0   | 380  | 0.4001          | 52.2907   | 67.3129   |
+| 0.4146        | 3.0   | 570  | 0.1912          | 76.9208   | 85.7130   |
+| 0.2205        | 4.0   | 760  | 0.0918          | 89.7162   | 94.7752   |
+| 0.1296        | 5.0   | 950  | 0.0617          | 92.7357   | 96.6210   |
+| 0.0868        | 6.0   | 1140 | 0.0522          | 93.6404   | 97.0249   |
+| 0.0641        | 7.0   | 1330 | 0.0364          | 95.8783   | 98.4617   |
+| 0.047         | 8.0   | 1520 | 0.0359          | 95.9872   | 98.4311   |
+| 0.0386        | 9.0   | 1710 | 0.0318          | 96.5580   | 98.6017   |
+| 0.0316        | 10.0  | 1900 | 0.0336          | 96.3751   | 98.5195   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 1.12.0+cu102
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      62801
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 62801,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 62801,
+  "renormalize_logits": true,
+  "transformers_version": "4.42.4"
+}

model.safetensors

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