Model save

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: moore_MT
+  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. -->
+
+# moore_MT
+
+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: 2.4899
+- Bleu: 7.7564
+- Gen Len: 59.1124
+
+## 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: 3e-05
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 12
+- optimizer: Use 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: 2500
+- num_epochs: 24.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:-------:|
+| 1.3635        | 14.9925 | 5000 | 2.4899          | 7.7564 | 59.1124 |
+
+
+### Framework versions
+
+- Transformers 4.46.0
+- Pytorch 2.7.0+cu126
+- Datasets 3.3.2
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "max_length": 200,
+  "num_beams": 5,
+  "pad_token_id": 1,
+  "transformers_version": "4.46.0"
+}

model.safetensors

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