End of training

README.md

@@ -0,0 +1,74 @@
+---
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Improved-bert-multilingual
+  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. -->
+
+# Improved-bert-multilingual
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0118
+- Accuracy: 0.78
+
+## 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: 1e-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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6856        | 0.55  | 50   | 0.6607          | 0.61     |
+| 0.5729        | 1.1   | 100  | 0.5453          | 0.73     |
+| 0.4649        | 1.65  | 150  | 0.5915          | 0.66     |
+| 0.385         | 2.2   | 200  | 0.5824          | 0.7      |
+| 0.343         | 2.75  | 250  | 0.4548          | 0.79     |
+| 0.305         | 3.3   | 300  | 0.6585          | 0.71     |
+| 0.2355        | 3.85  | 350  | 0.6034          | 0.77     |
+| 0.2176        | 4.4   | 400  | 0.5191          | 0.79     |
+| 0.2137        | 4.95  | 450  | 0.6655          | 0.73     |
+| 0.181         | 5.49  | 500  | 0.6929          | 0.78     |
+| 0.171         | 6.04  | 550  | 1.0172          | 0.65     |
+| 0.1267        | 6.59  | 600  | 0.9904          | 0.67     |
+| 0.1152        | 7.14  | 650  | 1.0817          | 0.65     |
+| 0.1045        | 7.69  | 700  | 1.1231          | 0.66     |
+| 0.0973        | 8.24  | 750  | 1.0118          | 0.78     |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.7
+- Tokenizers 0.14.1

config.json

@@ -9,16 +9,8 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
-  "id2label": {
-    "0": "Negative",
-    "1": "Positive"
-  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
-  "label2id": {
-    "Negative": 0,
-    "Positive": 1
-  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",
@@ -31,6 +23,7 @@
   "pooler_size_per_head": 128,
   "pooler_type": "first_token_transform",
   "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
   "torch_dtype": "float32",
   "transformers_version": "4.34.1",
   "type_vocab_size": 2,