Model save

README.md

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+---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-fr-en
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: french-wolof-marian-fr-to-wo
+  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. -->
+
+# french-wolof-marian-fr-to-wo
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-fr-en](https://huggingface.co/Helsinki-NLP/opus-mt-fr-en) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4610
+- Bleu: 0.0157
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 454  | 1.5968          | 0.0050 |
+| 1.9266        | 2.0   | 908  | 1.4846          | 0.0144 |
+| 1.5498        | 3.0   | 1362 | 1.4572          | 0.0161 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+    [
+      59513
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+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 59513,
+  "renormalize_logits": true,
+  "transformers_version": "4.40.2"
+}

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