yassine benlaria
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Model save
Browse files- README.md +67 -0
- generation_config.json +10 -0
- pytorch_model.bin +1 -1
README.md
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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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<!-- 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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# m2m100_418M_tq_fr_new_data
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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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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### Framework versions
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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
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generation_config.json
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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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 1935967745
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version https://git-lfs.github.com/spec/v1
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oid sha256:a62a14ea0362b6b6c3816a8df639a39e14c1cab00ee6aa2e522856a0c908eda4
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size 1935967745
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