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
+- precision
+- recall
+- f1
+model-index:
+- name: Full-8epoch-BERT-base-multilingual-finetuned-CEFR_ner-60000news
+  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. -->
+
+# Full-8epoch-BERT-base-multilingual-finetuned-CEFR_ner-60000news
+
+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: 0.0772
+- Accuracy: 0.3055
+- Precision: 0.5539
+- Recall: 0.8444
+- F1: 0.5463
+
+## 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: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.1609        | 1.0   | 1563  | 0.1237          | 0.3003   | 0.5394    | 0.8062 | 0.5257 |
+| 0.1031        | 2.0   | 3126  | 0.0926          | 0.3033   | 0.5628    | 0.8280 | 0.5475 |
+| 0.0805        | 3.0   | 4689  | 0.0831          | 0.3043   | 0.5396    | 0.8360 | 0.5317 |
+| 0.0687        | 4.0   | 6252  | 0.0789          | 0.3048   | 0.5514    | 0.8404 | 0.5428 |
+| 0.0595        | 5.0   | 7815  | 0.0767          | 0.3051   | 0.5386    | 0.8415 | 0.5347 |
+| 0.0529        | 6.0   | 9378  | 0.0770          | 0.3053   | 0.5506    | 0.8425 | 0.5444 |
+| 0.048         | 7.0   | 10941 | 0.0765          | 0.3055   | 0.5516    | 0.8444 | 0.5451 |
+| 0.0453        | 8.0   | 12504 | 0.0772          | 0.3055   | 0.5539    | 0.8444 | 0.5463 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.2.1
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,49 @@
+{
+  "_name_or_path": "bert-base-multilingual-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "0",
+    "1": "A1",
+    "2": "A2",
+    "3": "B1",
+    "4": "B2",
+    "5": "C1",
+    "6": "C2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "0": 0,
+    "A1": 1,
+    "A2": 2,
+    "B1": 3,
+    "B2": 4,
+    "C1": 5,
+    "C2": 6
+  },
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68b31ee1120639c0780ae50069c7ed1e094aa71377541f86854716ac8b9ee0f9
+size 709096284

runs/Jun03_14-44-09_482b1c6b6b65/events.out.tfevents.1717425857.482b1c6b6b65.4718.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42b7307394410b7473c76cc6c83bdbb97812974d6df8093ffdac92e2da36a564
+size 14749

runs/Jun03_14-44-09_482b1c6b6b65/events.out.tfevents.1717428105.482b1c6b6b65.4718.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7b9af2029d44e8c446b37735a10ce5e549ec090258b5cf12505ab301342d746
+size 560

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,55 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20a8a2ba18deface295c1bcd4273346126a60a60ffd3c78c68a5eac9aef43873
+size 5176