vasumathin298/portfolio-model

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert-base-uncased-distilled-squad
+tags:
+- generated_from_trainer
+model-index:
+- name: model
+  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. -->
+
+# model
+
+This model is a fine-tuned version of [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0000
+
+## 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: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 2    | 1.5204          |
+| No log        | 2.0   | 4    | 0.1924          |
+| No log        | 3.0   | 6    | 0.0326          |
+| No log        | 4.0   | 8    | 0.0087          |
+| No log        | 5.0   | 10   | 0.0034          |
+| No log        | 6.0   | 12   | 0.0017          |
+| No log        | 7.0   | 14   | 0.0009          |
+| No log        | 8.0   | 16   | 0.0005          |
+| No log        | 9.0   | 18   | 0.0002          |
+| No log        | 10.0  | 20   | 0.0001          |
+| No log        | 11.0  | 22   | 0.0001          |
+| No log        | 12.0  | 24   | 0.0000          |
+| No log        | 13.0  | 26   | 0.0000          |
+| No log        | 14.0  | 28   | 0.0000          |
+| No log        | 15.0  | 30   | 0.0000          |
+| No log        | 16.0  | 32   | 0.0000          |
+| No log        | 17.0  | 34   | 0.0000          |
+| No log        | 18.0  | 36   | 0.0000          |
+| No log        | 19.0  | 38   | 0.0000          |
+| No log        | 20.0  | 40   | 0.0000          |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased-distilled-squad",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForQuestionAnswering"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2",
+  "vocab_size": 30522
+}

model.safetensors

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+size 265470032

runs/Oct20_22-58-08_e13e6039fcc6/events.out.tfevents.1729465089.e13e6039fcc6.5824.0

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+size 4822

training_args.bin

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+size 5176