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transliterated-akk-en-t5-small-instruct-small-context

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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: AraT5v2-base-1024-p-l-akk-en-20240811-231511
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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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+ # AraT5v2-base-1024-p-l-akk-en-20240811-231511
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+
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+ This model was trained from scratch on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4597
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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: 4e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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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: 10
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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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+ | 0.364 | 0.0552 | 2500 | 0.4332 |
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+ | 0.3744 | 0.1105 | 5000 | 0.4408 |
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+ | 0.3825 | 0.1657 | 7500 | 0.4430 |
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+ | 0.384 | 0.2210 | 10000 | 0.4377 |
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+ | 0.3751 | 0.2762 | 12500 | 0.4421 |
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+ | 0.4055 | 0.3314 | 15000 | 0.4372 |
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+ | 0.355 | 0.3867 | 17500 | 0.4352 |
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+ | 0.3871 | 0.4419 | 20000 | 0.4376 |
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+ | 0.4159 | 0.4972 | 22500 | 0.4335 |
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+ | 0.3782 | 0.5524 | 25000 | 0.4295 |
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+ | 0.384 | 0.6077 | 27500 | 0.4305 |
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+ | 0.3782 | 0.6629 | 30000 | 0.4311 |
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+ | 0.3708 | 0.7181 | 32500 | 0.4332 |
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+ | 0.3809 | 0.7734 | 35000 | 0.4263 |
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+ | 0.3964 | 0.8286 | 37500 | 0.4280 |
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+ | 0.3832 | 0.8839 | 40000 | 0.4253 |
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+ | 0.4052 | 0.9391 | 42500 | 0.4320 |
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+ | 0.4015 | 0.9943 | 45000 | 0.4261 |
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+ | 0.352 | 1.0496 | 47500 | 0.4307 |
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+ | 0.3456 | 1.1048 | 50000 | 0.4318 |
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+ | 0.3726 | 1.1601 | 52500 | 0.4366 |
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+ | 0.323 | 1.2153 | 55000 | 0.4357 |
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+ | 0.3565 | 1.2705 | 57500 | 0.4285 |
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+ | 0.3679 | 1.3258 | 60000 | 0.4329 |
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+ | 0.3921 | 1.3810 | 62500 | 0.4257 |
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+ | 0.3587 | 1.4363 | 65000 | 0.4248 |
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+ | 0.3502 | 1.4915 | 67500 | 0.4283 |
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+ | 0.3768 | 1.5468 | 70000 | 0.4283 |
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+ | 0.3461 | 1.6020 | 72500 | 0.4226 |
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+ | 0.3524 | 1.6572 | 75000 | 0.4238 |
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+ | 0.3838 | 1.7125 | 77500 | 0.4220 |
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+ | 0.3849 | 1.7677 | 80000 | 0.4213 |
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+ | 0.3731 | 1.8230 | 82500 | 0.4184 |
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+ | 0.3722 | 1.8782 | 85000 | 0.4212 |
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+ | 0.3762 | 1.9334 | 87500 | 0.4179 |
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+ | 0.3737 | 1.9887 | 90000 | 0.4229 |
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+ | 0.3311 | 2.0439 | 92500 | 0.4277 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0.dev0
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+ - Pytorch 2.5.0.dev20240625
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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