End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: barro/dyu-fr-nllb-distilled
+tags:
+- generated_from_trainer
+model-index:
+- name: dyu-fr-nllb-quantized
+  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. -->
+
+# dyu-fr-nllb-quantized
+
+This model is a fine-tuned version of [barro/dyu-fr-nllb-distilled](https://huggingface.co/barro/dyu-fr-nllb-distilled) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8874
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5155        | 1.0   | 1009 | 0.8459          |
+| 0.4838        | 2.0   | 2018 | 0.8570          |
+| 0.4587        | 3.0   | 3027 | 0.8697          |
+| 0.4214        | 4.0   | 4036 | 0.8813          |
+| 0.4093        | 5.0   | 5045 | 0.8874          |
+
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 200,
+  "pad_token_id": 1,
+  "transformers_version": "4.43.4"
+}

runs/Aug08_08-32-30_1b64924483c1/events.out.tfevents.1723105950.1b64924483c1.1522.0

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