danlou commited on
Commit
e5f53cb
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.gitignore ADDED
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+ checkpoint-*/
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model_index:
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+ name: albert-xxlarge-v2-finetuned-csqa-ih
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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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+ # albert-xxlarge-v2-finetuned-csqa-ih
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+
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+ This model is a fine-tuned version of [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2) on an unkown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5694
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+ - Accuracy: 0.8026
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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: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 5
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.8032 | 1.0 | 532 | 0.5217 | 0.8043 |
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+ | 0.3182 | 2.0 | 1064 | 0.6313 | 0.7985 |
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+ | 0.0668 | 3.0 | 1596 | 1.2971 | 0.7969 |
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+ | 0.0131 | 4.0 | 2128 | 1.4671 | 0.8026 |
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+ | 0.0046 | 5.0 | 2660 | 1.5694 | 0.8026 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.8.2
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+ - Pytorch 1.9.0
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+ - Datasets 1.10.2
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+ - Tokenizers 0.10.3
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+ {
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+ "_name_or_path": "albert-xxlarge-v2",
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+ "architectures": [
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+ "AlbertForMultipleChoice"
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+ ],
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+ "attention_probs_dropout_prob": 0,
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+ "bos_token_id": 2,
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+ "down_scale_factor": 1,
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+ "embedding_size": 128,
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+ "eos_token_id": 3,
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+ "gap_size": 0,
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+ "hidden_act": "gelu_new",
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+ "hidden_dropout_prob": 0,
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+ "initializer_range": 0.02,
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+ "inner_group_num": 1,
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+ "intermediate_size": 16384,
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+ "layer_norm_eps": 1e-12,
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+ "layers_to_keep": [],
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+ "max_position_embeddings": 512,
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+ "model_type": "albert",
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+ "net_structure_type": 0,
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+ "num_attention_heads": 64,
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+ "num_hidden_groups": 1,
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+ "num_hidden_layers": 12,
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+ "num_memory_blocks": 0,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "transformers_version": "4.8.2",
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+ "type_vocab_size": 2,
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+ "vocab_size": 30000
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+ }
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