CatBarks/bert_wes_bce_2_2

README.md

@@ -0,0 +1,78 @@
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert_base_for_whole_train_result_Spam-Ham2_2
+  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_for_whole_train_result_Spam-Ham2_2
+
+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: 0.0345
+- Accuracy: 0.995
+- F1: 0.9953
+
+## 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: 0.0001
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 64
+- total_train_batch_size: 4096
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
+| 0.6648        | 6.8817  | 50   | 0.5291          | 0.796    | 0.7908 |
+| 0.2633        | 13.7634 | 100  | 0.0799          | 0.98     | 0.9812 |
+| 0.0272        | 20.6452 | 150  | 0.0318          | 0.994    | 0.9944 |
+| 0.0049        | 27.5269 | 200  | 0.0321          | 0.9945   | 0.9948 |
+| 0.002         | 34.4086 | 250  | 0.0402          | 0.9935   | 0.9939 |
+| 0.0012        | 41.2903 | 300  | 0.0385          | 0.993    | 0.9934 |
+| 0.0008        | 48.1720 | 350  | 0.0502          | 0.99     | 0.9906 |
+| 0.0012        | 55.0538 | 400  | 0.0391          | 0.9935   | 0.9939 |
+| 0.0016        | 61.9355 | 450  | 0.0315          | 0.995    | 0.9953 |
+| 0.0002        | 68.8172 | 500  | 0.0309          | 0.995    | 0.9953 |
+| 0.0001        | 75.6989 | 550  | 0.0308          | 0.9955   | 0.9958 |
+| 0.0001        | 82.5806 | 600  | 0.0338          | 0.9955   | 0.9958 |
+| 0.0           | 89.4624 | 650  | 0.0339          | 0.995    | 0.9953 |
+| 0.0           | 96.3441 | 700  | 0.0345          | 0.995    | 0.9953 |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.4.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "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",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.0",
+  "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 sha256:558959c4d83e583bd1b88ac177a911fcbe580dd56761a9a2629ab5b44b231a89
+size 437958648

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d85d7c6b3200f36a98227ca2c0f00cb1e5a213ce1b1ce25858e9eda0dba2c534
+size 4984