End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: facebook/m2m100_418M
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: m2m100_418M_it_formal
+  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. -->
+
+# m2m100_418M_it_formal
+
+This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4792
+- Bleu: 33.3519
+
+## 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: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Bleu    |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 3.8876        | 0.3676 | 500  | 0.5692          | 29.8373 |
+| 0.5702        | 0.7353 | 1000 | 0.5110          | 31.5694 |
+| 0.5284        | 1.1029 | 1500 | 0.4988          | 32.1943 |
+| 0.4827        | 1.4706 | 2000 | 0.4896          | 32.6095 |
+| 0.4826        | 1.8382 | 2500 | 0.4843          | 32.9797 |
+| 0.4567        | 2.2059 | 3000 | 0.4835          | 33.0851 |
+| 0.4461        | 2.5735 | 3500 | 0.4800          | 33.2566 |
+| 0.4426        | 2.9412 | 4000 | 0.4792          | 33.3519 |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_bos_token_id": 128045,
+  "max_length": 200,
+  "num_beams": 5,
+  "pad_token_id": 1,
+  "transformers_version": "4.48.3"
+}

model.safetensors

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