BiLSTM test 1

README.md

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+---
+license: mit
+base_model: csarron/mobilebert-uncased-squad-v1
+tags:
+- generated_from_trainer
+model-index:
+- name: MobileBERT-uncased-squad-v1-Bagging-5of5
+ results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# MobileBERT-uncased-squad-v1-Bagging-5of5
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.4253
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 6
+- eval_batch_size: 60
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.5743 | 1.0 | 14619 | 1.1128 |
+| 0.3642 | 2.0 | 29238 | 1.4253 |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+ "_name_or_path": "csarron/mobilebert-uncased-squad-v1",
+ "architectures": [
+ "MobileBertForQuestionAnswering"
+ ],
+ "attention_probs_dropout_prob": 0.1,
+ "classifier_activation": false,
+ "classifier_dropout": null,
+ "embedding_size": 128,
+ "hidden_act": "relu",
+ "hidden_dropout_prob": 0.0,
+ "hidden_size": 512,
+ "initializer_range": 0.02,
+ "intermediate_size": 512,
+ "intra_bottleneck_size": 128,
+ "key_query_shared_bottleneck": true,
+ "layer_norm_eps": 1e-12,
+ "max_position_embeddings": 512,
+ "model_type": "mobilebert",
+ "normalization_type": "no_norm",
+ "num_attention_heads": 4,
+ "num_feedforward_networks": 4,
+ "num_hidden_layers": 24,
+ "pad_token_id": 0,
+ "torch_dtype": "float32",
+ "transformers_version": "4.40.0",
+ "trigram_input": true,
+ "true_hidden_size": 128,
+ "type_vocab_size": 2,
+ "use_bottleneck": true,
+ "use_bottleneck_attention": false,
+ "vocab_size": 30522
+}

model.safetensors

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+size 98470136

training_args.bin

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