Training complete

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: facebook/nllb-200-distilled-600M
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: nllb-200-distilled-600M-mt-finetuned-zindi-dyu-to-fr
+  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. -->
+
+# nllb-200-distilled-600M-mt-finetuned-zindi-dyu-to-fr
+
+This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2584
+- Bleu: 6.4075
+
+## 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: 64
+- eval_batch_size: 128
+- 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   |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 3.1707        | 0.1575 | 20   | 2.7356          | 4.8084 |
+| 2.9074        | 0.3150 | 40   | 2.5883          | 5.0141 |
+| 2.7168        | 0.4724 | 60   | 2.4902          | 5.5785 |
+| 2.6912        | 0.6299 | 80   | 2.4154          | 5.7743 |
+| 2.6062        | 0.7874 | 100  | 2.3742          | 6.0010 |
+| 2.5794        | 0.9449 | 120  | 2.3480          | 6.1354 |
+| 2.4634        | 1.1024 | 140  | 2.3314          | 5.9899 |
+| 2.5055        | 1.2598 | 160  | 2.3167          | 6.1080 |
+| 2.5062        | 1.4173 | 180  | 2.3032          | 6.3784 |
+| 2.4771        | 1.5748 | 200  | 2.2944          | 6.4510 |
+| 2.4284        | 1.7323 | 220  | 2.2854          | 6.2883 |
+| 2.4423        | 1.8898 | 240  | 2.2783          | 6.5036 |
+| 2.3202        | 2.0472 | 260  | 2.2730          | 6.4039 |
+| 2.3855        | 2.2047 | 280  | 2.2701          | 6.2921 |
+| 2.4292        | 2.3622 | 300  | 2.2658          | 6.3025 |
+| 2.3678        | 2.5197 | 320  | 2.2626          | 6.2881 |
+| 2.4158        | 2.6772 | 340  | 2.2600          | 6.3684 |
+| 2.351         | 2.8346 | 360  | 2.2588          | 6.2852 |
+| 2.3755        | 2.9921 | 380  | 2.2584          | 6.2819 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "forced_bos_token_id": 256057,
+  "max_length": 200,
+  "pad_token_id": 1,
+  "transformers_version": "4.44.2"
+}

runs/Aug29_01-02-47_instance-20240829-022412/events.out.tfevents.1724893412.instance-20240829-022412

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