ConsofIndia_Divyansh27

README.md

@@ -0,0 +1,63 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0002
+- Accuracy: 1.0
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 94   | 0.0004          | 1.0      |
+| No log        | 2.0   | 188  | 0.0002          | 1.0      |
+| No log        | 3.0   | 282  | 0.0002          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.2.0+cpu
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "bert-base-uncased",
+  "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": "4.46.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb713dedfd58b5b49cbe4c24163878619bc225d57ff642c2ede94ebb18ce5acb
+size 435596088

runs/Jan11_22-19-55_Divyansh-27/events.out.tfevents.1736614202.Divyansh-27.10316.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9d577a6f238cae69e47b190bb2436a8e71c5136877131f562524ec5beabe960
+size 5017

runs/Jan11_22-25-07_Divyansh-27/events.out.tfevents.1736614512.Divyansh-27.5736.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:108ea02b90ca61c84741c8d4e58cb6bfb062eecd2028bc877120c382ec31679b
+size 5017

runs/Jan11_22-28-11_Divyansh-27/events.out.tfevents.1736614697.Divyansh-27.2176.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca41e4f5aea0575ffbee22aff4d9824edf97e1b7f48f58a666ef57eb0faecabd
+size 5013

runs/Jan12_11-20-11_Divyansh-27/events.out.tfevents.1736661016.Divyansh-27.11284.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:db18e610ddddbb9a9bb4be582225674adde3ddce8377622b046138fee46de174
+size 6330

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:78917c7a4f96d84e08bed3c183f2f7fbea1ee4da2fd0e225a6c8a14455c36cdb
+size 5240