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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: facebook/m2m100_418M
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: m2m-amharic-antonym2
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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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+ # m2m-amharic-antonym2
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+
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+ This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3976
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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: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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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: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.344 | 1.0 | 60 | 5.0771 |
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+ | 3.3162 | 2.0 | 120 | 3.0760 |
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+ | 1.5087 | 3.0 | 180 | 1.3491 |
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+ | 0.5943 | 4.0 | 240 | 0.5586 |
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+ | 0.4177 | 5.0 | 300 | 0.4271 |
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+ | 0.3263 | 6.0 | 360 | 0.4034 |
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+ | 0.2933 | 7.0 | 420 | 0.3961 |
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+ | 0.2562 | 8.0 | 480 | 0.3913 |
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+ | 0.2276 | 9.0 | 540 | 0.3937 |
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+ | 0.2245 | 10.0 | 600 | 0.3976 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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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": "4.44.2"
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+ }
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