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End of training

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README.md ADDED
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+ ---
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+ license: other
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+ base_model: facebook/opt-350m
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: opt-350m_IA3_lr5e-05_bs4_epoch20_wd0.01
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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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+ # opt-350m_IA3_lr5e-05_bs4_epoch20_wd0.01
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+
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+ This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.6235
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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-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 20
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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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+ | 4.0247 | 1.0 | 157 | 3.8361 |
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+ | 4.0183 | 2.0 | 314 | 3.8183 |
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+ | 4.0005 | 3.0 | 471 | 3.7924 |
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+ | 3.9764 | 4.0 | 628 | 3.7634 |
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+ | 3.8952 | 5.0 | 785 | 3.7394 |
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+ | 3.9008 | 6.0 | 942 | 3.7191 |
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+ | 3.9332 | 7.0 | 1099 | 3.7025 |
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+ | 3.8841 | 8.0 | 1256 | 3.6877 |
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+ | 3.8515 | 9.0 | 1413 | 3.6754 |
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+ | 3.8297 | 10.0 | 1570 | 3.6650 |
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+ | 3.785 | 11.0 | 1727 | 3.6560 |
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+ | 3.832 | 12.0 | 1884 | 3.6485 |
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+ | 3.7683 | 13.0 | 2041 | 3.6422 |
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+ | 3.8607 | 14.0 | 2198 | 3.6369 |
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+ | 3.7712 | 15.0 | 2355 | 3.6327 |
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+ | 3.7966 | 16.0 | 2512 | 3.6293 |
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+ | 3.7841 | 17.0 | 2669 | 3.6266 |
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+ | 3.8344 | 18.0 | 2826 | 3.6248 |
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+ | 3.7461 | 19.0 | 2983 | 3.6238 |
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+ | 3.8097 | 20.0 | 3140 | 3.6235 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.1+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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