End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+vocab.txt filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,77 @@
+---
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: result-colab-with_tokenizer
+  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. -->
+
+# result-colab-with_tokenizer
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3390
+- Accuracy: 0.8945
+- Precision: 0.8847
+- Recall: 0.8927
+- F1: 0.8869
+
+## 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: cosine
+- num_epochs: 12
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.2288        | 1.0   | 48   | 0.9276          | 0.6789   | 0.5929    | 0.6138 | 0.5825 |
+| 0.7686        | 2.0   | 96   | 0.5879          | 0.7661   | 0.7354    | 0.7159 | 0.7019 |
+| 0.5665        | 3.0   | 144  | 0.4706          | 0.8440   | 0.8498    | 0.8238 | 0.8281 |
+| 0.4813        | 4.0   | 192  | 0.4045          | 0.8578   | 0.8514    | 0.8329 | 0.8354 |
+| 0.3716        | 5.0   | 240  | 0.3770          | 0.8624   | 0.8566    | 0.8398 | 0.8426 |
+| 0.3535        | 6.0   | 288  | 0.3538          | 0.8853   | 0.8760    | 0.8664 | 0.8690 |
+| 0.2511        | 7.0   | 336  | 0.3626          | 0.8716   | 0.8631    | 0.8573 | 0.8591 |
+| 0.2826        | 8.0   | 384  | 0.3490          | 0.8899   | 0.8809    | 0.8886 | 0.8823 |
+| 0.2295        | 9.0   | 432  | 0.3372          | 0.8807   | 0.8697    | 0.8720 | 0.8705 |
+| 0.181         | 10.0  | 480  | 0.3410          | 0.8853   | 0.8743    | 0.8789 | 0.8757 |
+| 0.178         | 11.0  | 528  | 0.3416          | 0.8945   | 0.8847    | 0.8927 | 0.8869 |
+| 0.208         | 12.0  | 576  | 0.3390          | 0.8945   | 0.8847    | 0.8927 | 0.8869 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,46 @@
+{
+  "_name_or_path": "google-bert/bert-base-multilingual-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "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,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 548133
+}

fasttext_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f49e7151bab4e4edf0089a4a9af332245e4615a73b2c944f69c458f3c6d398e6
+size 9534119835

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4fc018d66338c9893e677347dbab626b444116287fd9e141b09221ea237b390b
+size 2028069268

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b9f01db4dd3b344e6caf3b66d36d4e01a30d6286d6ff909c98156080ac330b6
+size 5112

vocab.txt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52a2c8ad1723b1952d64ad5155b3cc87e13ae15e55cc9c6c2a2c078c7ce90216
+size 17457360