BiLSTM test 1

README.md

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+---
+license: mit
+base_model: csarron/bert-base-uncased-squad-v1
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-base-uncased-ADVQA36K-V1
+  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. -->
+
+# bert-base-uncased-ADVQA36K-V1
+
+This model is a fine-tuned version of [csarron/bert-base-uncased-squad-v1](https://huggingface.co/csarron/bert-base-uncased-squad-v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2415
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.082         | 0.0599 | 100  | 2.6035          |
+| 2.8722        | 0.1198 | 200  | 2.5143          |
+| 2.795         | 0.1796 | 300  | 2.4826          |
+| 2.8296        | 0.2395 | 400  | 2.4196          |
+| 2.672         | 0.2994 | 500  | 2.4114          |
+| 2.7441        | 0.3593 | 600  | 2.3978          |
+| 2.5998        | 0.4192 | 700  | 2.4459          |
+| 2.5769        | 0.4790 | 800  | 2.4532          |
+| 2.6259        | 0.5389 | 900  | 2.3976          |
+| 2.7231        | 0.5988 | 1000 | 2.3450          |
+| 2.6436        | 0.6587 | 1100 | 2.3284          |
+| 2.487         | 0.7186 | 1200 | 2.3075          |
+| 2.6244        | 0.7784 | 1300 | 2.2957          |
+| 2.5364        | 0.8383 | 1400 | 2.2777          |
+| 2.5134        | 0.8982 | 1500 | 2.2624          |
+| 2.4822        | 0.9581 | 1600 | 2.2618          |
+| 2.143         | 1.0180 | 1700 | 2.5997          |
+| 1.6162        | 1.0778 | 1800 | 2.5829          |
+| 1.4584        | 1.1377 | 1900 | 2.6399          |
+| 1.5492        | 1.1976 | 2000 | 2.5341          |
+| 1.5164        | 1.2575 | 2100 | 2.5774          |
+| 1.527         | 1.3174 | 2200 | 2.6494          |
+| 1.4502        | 1.3772 | 2300 | 2.5469          |
+| 1.4585        | 1.4371 | 2400 | 2.5840          |
+| 1.4931        | 1.4970 | 2500 | 2.6073          |
+| 1.5776        | 1.5569 | 2600 | 2.5040          |
+| 1.5031        | 1.6168 | 2700 | 2.5649          |
+| 1.5553        | 1.6766 | 2800 | 2.4987          |
+| 1.4283        | 1.7365 | 2900 | 2.5381          |
+| 1.5218        | 1.7964 | 3000 | 2.5143          |
+| 1.4675        | 1.8563 | 3100 | 2.5869          |
+| 1.5538        | 1.9162 | 3200 | 2.4369          |
+| 1.4867        | 1.9760 | 3300 | 2.5816          |
+| 1.1069        | 2.0359 | 3400 | 3.0580          |
+| 0.8692        | 2.0958 | 3500 | 3.0554          |
+| 0.7903        | 2.1557 | 3600 | 3.1655          |
+| 0.9055        | 2.2156 | 3700 | 3.0883          |
+| 0.8312        | 2.2754 | 3800 | 3.1815          |
+| 0.8617        | 2.3353 | 3900 | 3.2235          |
+| 0.854         | 2.3952 | 4000 | 3.2345          |
+| 0.8323        | 2.4551 | 4100 | 3.1780          |
+| 0.7861        | 2.5150 | 4200 | 3.1863          |
+| 0.8175        | 2.5749 | 4300 | 3.1931          |
+| 0.8117        | 2.6347 | 4400 | 3.2102          |
+| 0.7713        | 2.6946 | 4500 | 3.2878          |
+| 0.8246        | 2.7545 | 4600 | 3.2711          |
+| 0.7878        | 2.8144 | 4700 | 3.2872          |
+| 0.8074        | 2.8743 | 4800 | 3.2391          |
+| 0.7979        | 2.9341 | 4900 | 3.2374          |
+| 0.7931        | 2.9940 | 5000 | 3.2415          |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.6.0+cu124
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "csarron/bert-base-uncased-squad-v1",
+  "architectures": [
+    "BertForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+oid sha256:cb1012cc23a1c55c80356cd3c2fa576b747e4ae3101e781ea54d0e56a52ab080
+size 435596088

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:884c7d32a962379ec7893284ed0414be97452c1356fc4ac7c8b34f356ad24eee
+size 4920