allistair99
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BiLSTM test 1
Browse files- README.md +58 -0
- config.json +33 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: csarron/mobilebert-uncased-squad-v1
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tags:
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- generated_from_trainer
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model-index:
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- name: MobileBERT-uncased-squad-v1-BiLSTM-finetuned-squad-fc1-resize
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results: []
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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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# MobileBERT-uncased-squad-v1-BiLSTM-finetuned-squad-fc1-resize
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This model is a fine-tuned version of [csarron/mobilebert-uncased-squad-v1](https://huggingface.co/csarron/mobilebert-uncased-squad-v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0312
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 6
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- eval_batch_size: 60
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.5585 | 1.0 | 14619 | 1.0542 |
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| 0.5426 | 2.0 | 29238 | 1.0312 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "csarron/mobilebert-uncased-squad-v1",
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"architectures": [
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"MobileBertForQuestionAnswering1"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_activation": false,
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"classifier_dropout": null,
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"embedding_size": 128,
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"hidden_act": "relu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"intra_bottleneck_size": 128,
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"key_query_shared_bottleneck": true,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "mobilebert",
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"normalization_type": "no_norm",
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"num_attention_heads": 4,
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"num_feedforward_networks": 4,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"torch_dtype": "float32",
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"transformers_version": "4.40.0",
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"trigram_input": true,
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"true_hidden_size": 128,
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"type_vocab_size": 2,
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"use_bottleneck": true,
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"use_bottleneck_attention": false,
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"vocab_size": 30522
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:65afde0484dcde00c69e9927faf6f51f54d82139033739032455e85805a8b174
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size 133126144
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d88e5269ecbf8c3b8f5f2c07a09e1399a04e38b315b60e52c5a0e112e5a0324
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size 4984
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