Kirkos27/ModelFor_yelp_review_full

README.md

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+---
+license: apache-2.0
+base_model: google-bert/bert-base-cased
+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 [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0462
+- Accuracy: 0.565
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 15
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.6966        | 0.12   | 30   | 1.6482          | 0.205    |
+| 1.6111        | 0.24   | 60   | 1.5500          | 0.312    |
+| 1.5634        | 0.36   | 90   | 1.4253          | 0.391    |
+| 1.4389        | 0.48   | 120  | 1.2866          | 0.429    |
+| 1.3507        | 0.6    | 150  | 1.2292          | 0.466    |
+| 1.3072        | 0.72   | 180  | 1.2251          | 0.435    |
+| 1.2346        | 0.84   | 210  | 1.3498          | 0.412    |
+| 1.3884        | 0.96   | 240  | 1.1693          | 0.515    |
+| 1.0748        | 1.08   | 270  | 1.2255          | 0.474    |
+| 1.02          | 1.2    | 300  | 1.2691          | 0.475    |
+| 1.0354        | 1.32   | 330  | 1.1937          | 0.48     |
+| 1.0622        | 1.44   | 360  | 1.1304          | 0.512    |
+| 1.0289        | 1.56   | 390  | 1.2823          | 0.465    |
+| 1.1433        | 1.6800 | 420  | 1.0603          | 0.527    |
+| 1.0125        | 1.8    | 450  | 1.0753          | 0.522    |
+| 0.8716        | 1.92   | 480  | 1.0901          | 0.532    |
+| 0.8761        | 2.04   | 510  | 1.0462          | 0.565    |
+| 0.6857        | 2.16   | 540  | 1.0626          | 0.555    |
+| 0.7674        | 2.2800 | 570  | 1.0799          | 0.545    |
+| 0.6676        | 2.4    | 600  | 1.0843          | 0.546    |
+| 0.6254        | 2.52   | 630  | 1.1148          | 0.551    |
+| 0.6813        | 2.64   | 660  | 1.1227          | 0.553    |
+| 0.7043        | 2.76   | 690  | 1.1267          | 0.558    |
+| 0.4643        | 2.88   | 720  | 1.1227          | 0.551    |
+| 0.6665        | 3.0    | 750  | 1.1222          | 0.557    |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "google-bert/bert-base-cased",
+  "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,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "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": "4.42.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

model.safetensors

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+size 433279996

training_args.bin

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