BiLSTM test 1

README.md

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+---
+license: mit
+base_model: allistair99/tinybert-6l-768d-BiLSTM-finetuned-squad-optiparam
+tags:
+- generated_from_trainer
+datasets:
+- srh_test66
+model-index:
+- name: tinybert-6l-768d-squad2-finetuned-SRH-v2-BiLSTM-finetuned-SRH-optiparam-unfrozen-v3
+  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. -->
+
+# tinybert-6l-768d-squad2-finetuned-SRH-v2-BiLSTM-finetuned-SRH-optiparam-unfrozen-v3
+
+This model is a fine-tuned version of [allistair99/tinybert-6l-768d-BiLSTM-finetuned-squad-optiparam](https://huggingface.co/allistair99/tinybert-6l-768d-BiLSTM-finetuned-squad-optiparam) on the srh_test66 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2961
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 42   | 3.9998          |
+| No log        | 2.0   | 84   | 3.4290          |
+| No log        | 3.0   | 126  | 3.2961          |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "allistair99/tinybert-6l-768d-BiLSTM-finetuned-squad-optiparam",
+  "architectures": [
+    "BertForQuestionAnswering1"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "cell": {},
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "language": "english",
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "name": "Bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "pre_trained": "",
+  "structure": [],
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+size 279656944

training_args.bin

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