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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ model-index:
6
+ - name: ACTio-glu-relu-21L
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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
11
+ should probably proofread and complete it, then remove this comment. -->
12
+
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+ # ACTio-glu-relu-21L
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2269
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+
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+ ## Model description
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+
21
+ More information needed
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+
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+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
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+ ## Training and evaluation data
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+
29
+ More information needed
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+
31
+ ## 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: 0.0003
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.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: constant
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+ - training_steps: 2000
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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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+ | 3.3777 | 0.0135 | 200 | 3.1845 |
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+ | 0.8929 | 0.0270 | 400 | 0.8398 |
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+ | 0.4342 | 0.0404 | 600 | 0.4316 |
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+ | 0.3467 | 0.0539 | 800 | 0.3478 |
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+ | 0.3036 | 0.0674 | 1000 | 0.3025 |
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+ | 0.2874 | 0.0809 | 1200 | 0.2802 |
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+ | 0.2546 | 0.0944 | 1400 | 0.2565 |
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+ | 0.2542 | 0.1079 | 1600 | 0.2647 |
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+ | 0.2347 | 0.1213 | 1800 | 0.2337 |
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+ | 0.2253 | 0.1348 | 2000 | 0.2269 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.15.0.dev0
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 5.0.1
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+ - Tokenizers 0.22.2
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