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+ ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - tydiqa
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+ model-index:
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+ - name: pixel-base-finetuned-tydiqa-goldp
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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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+ # pixel-base-finetuned-tydiqa-goldp
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+
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+ This model is a fine-tuned version of [Team-PIXEL/pixel-base](https://huggingface.co/Team-PIXEL/pixel-base) on the tydiqa secondary_task dataset.
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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: 3e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 8
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+ - seed: 2
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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: 100
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+ - training_steps: 20000
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+ - mixed_precision_training: Apex, opt level O1
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.17.0
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+ - Pytorch 1.11.0
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+ - Datasets 2.0.0
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+ - Tokenizers 0.12.1
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+ {
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+ ],
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ ],
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+ "initializer_range": 0.02,
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+ "interpolate_pos_encoding": false,
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+ "layer_norm_eps": 1e-12,
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+ "mask_ratio": 0.25,
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+ "model_type": "pixel",
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+ "norm_pix_loss": true,
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "patch_size": 16,
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+ "qkv_bias": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.17.0"
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+ }
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