End of training
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README.md
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This model is a fine-tuned version of [Mat17892/t5small_enfr_opus](https://huggingface.co/Mat17892/t5small_enfr_opus) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Bleu:
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- Gen Len:
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step
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| 1.5196 | 2.0 | 12710 | 1.3419 | 7.2241 | 17.5219 |
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| 1.5005 | 3.0 | 19065 | 1.3346 | 7.3005 | 17.5137 |
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| 1.5083 | 4.0 | 25420 | 1.3298 | 7.3326 | 17.5174 |
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| 1.4999 | 5.0 | 31775 | 1.3269 | 7.3337 | 17.5214 |
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| 1.4906 | 6.0 | 38130 | 1.3237 | 7.3359 | 17.5185 |
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| 1.4944 | 7.0 | 44485 | 1.3223 | 7.3664 | 17.5161 |
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| 1.5018 | 8.0 | 50840 | 1.3217 | 7.3648 | 17.5145 |
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### Framework versions
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- Transformers 4.46.
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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This model is a fine-tuned version of [Mat17892/t5small_enfr_opus](https://huggingface.co/Mat17892/t5small_enfr_opus) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7579
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- Bleu: 9.1617
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- Gen Len: 18.2621
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
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| 0.8703 | 1.0 | 7500 | 0.7579 | 9.1617 | 18.2621 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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generation_config.json
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.46.
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}
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.46.3"
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}
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runs/Dec06_21-46-07_9f8b679bc043/events.out.tfevents.1733521567.9f8b679bc043.170.1
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size 9977
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