TeamVioletEdifai/cleanedYelpData

README.md

@@ -0,0 +1,77 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0407
+- Accuracy: 0.563
+- F1: 0.5630
+- Precision: 0.5631
+- Recall: 0.563
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.0416        | 1.0   | 2500  | 1.0319          | 0.5479   | 0.5347 | 0.5392    | 0.5479 |
+| 0.9488        | 2.0   | 5000  | 1.0248          | 0.5594   | 0.5535 | 0.5540    | 0.5594 |
+| 0.8759        | 3.0   | 7500  | 1.0407          | 0.563    | 0.5630 | 0.5631    | 0.563  |
+| 0.7576        | 4.0   | 10000 | 1.1242          | 0.5553   | 0.5539 | 0.5533    | 0.5553 |
+| 0.6735        | 5.0   | 12500 | 1.2117          | 0.5528   | 0.5504 | 0.5500    | 0.5528 |
+| 0.5951        | 6.0   | 15000 | 1.2677          | 0.5464   | 0.5442 | 0.5427    | 0.5464 |
+| 0.5128        | 7.0   | 17500 | 1.4077          | 0.5401   | 0.5456 | 0.5570    | 0.5401 |
+| 0.4343        | 8.0   | 20000 | 1.4986          | 0.5416   | 0.5433 | 0.5458    | 0.5416 |
+| 0.3861        | 9.0   | 22500 | 1.5921          | 0.5402   | 0.5436 | 0.5497    | 0.5402 |
+| 0.3713        | 10.0  | 25000 | 1.6282          | 0.5376   | 0.5401 | 0.5438    | 0.5376 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,39 @@
+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.2,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1865d3c4611e074a47b5caa0991dc05947d9acb8fb4121123d3164c551ef05ba
+size 267841796

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d50397049eb65ce8bae6bf364635057828e3d21e1d7cd3fbad437deb89cb76f0
+size 5112