yassine benlaria commited on
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  1. README.md +67 -0
  2. generation_config.json +10 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ base_model: heisenberg1337/m2m100_418M_tq_fr_1
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: m2m100_418M_tq_fr_new_data
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # m2m100_418M_tq_fr_new_data
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+
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+ This model is a fine-tuned version of [heisenberg1337/m2m100_418M_tq_fr_1](https://huggingface.co/heisenberg1337/m2m100_418M_tq_fr_1) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7732
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+ - Bleu: 5.0521
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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+ - train_batch_size: 12
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+ - eval_batch_size: 12
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 96
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 60
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.7993 | 1.69 | 100 | 0.7767 | 4.9208 |
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+ | 0.7761 | 3.38 | 200 | 0.7743 | 4.7089 |
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+ | 0.7723 | 5.06 | 300 | 0.7726 | 4.8445 |
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+ | 0.7585 | 6.75 | 400 | 0.7720 | 4.8352 |
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+ | 0.7468 | 8.44 | 500 | 0.7732 | 5.1454 |
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+ | 0.7331 | 10.13 | 600 | 0.7744 | 4.8311 |
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+ | 0.7301 | 11.81 | 700 | 0.7732 | 5.0521 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.13.3
generation_config.json ADDED
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+ {
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 2,
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+ "early_stopping": true,
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+ "eos_token_id": 2,
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+ "max_length": 200,
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+ "num_beams": 5,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.32.0"
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+ }
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