End of training

README.md

@@ -0,0 +1,84 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: albert/albert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: albert-base-v2-grammar-ner-generic
+  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. -->
+
+# albert-base-v2-grammar-ner-generic
+
+This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0991
+- Accuracy: 0.9891
+- F1 Macro: 0.9176
+- F1 Micro: 0.9176
+- Precision Macro: 0.9647
+- Precision Micro: 0.9647
+- Recall Macro: 0.875
+- Recall Micro: 0.875
+
+## 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: 24
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 18
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro | Precision Macro | Precision Micro | Recall Macro | Recall Micro |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|:---------------:|:---------------:|:------------:|:------------:|
+| 0.244         | 1.0   | 93   | 0.1830          | 0.9305   | 0.2897   | 0.2897   | 0.3892          | 0.3892          | 0.2308       | 0.2308       |
+| 0.1652        | 2.0   | 186  | 0.1476          | 0.9450   | 0.4236   | 0.4236   | 0.6644          | 0.6644          | 0.3109       | 0.3109       |
+| 0.1119        | 3.0   | 279  | 0.1070          | 0.9656   | 0.6759   | 0.6759   | 0.7313          | 0.7313          | 0.6282       | 0.6282       |
+| 0.0629        | 4.0   | 372  | 0.0884          | 0.9751   | 0.7764   | 0.7764   | 0.8453          | 0.8453          | 0.7179       | 0.7179       |
+| 0.0408        | 5.0   | 465  | 0.0954          | 0.9748   | 0.7911   | 0.7911   | 0.7873          | 0.7873          | 0.7949       | 0.7949       |
+| 0.028         | 6.0   | 558  | 0.0830          | 0.9799   | 0.8143   | 0.8143   | 0.9194          | 0.9194          | 0.7308       | 0.7308       |
+| 0.0185        | 7.0   | 651  | 0.0756          | 0.9831   | 0.8700   | 0.8700   | 0.8714          | 0.8714          | 0.8686       | 0.8686       |
+| 0.0125        | 8.0   | 744  | 0.0815          | 0.9841   | 0.8591   | 0.8591   | 0.9134          | 0.9134          | 0.8109       | 0.8109       |
+| 0.0073        | 9.0   | 837  | 0.0809          | 0.9854   | 0.8773   | 0.8773   | 0.8963          | 0.8963          | 0.8590       | 0.8590       |
+| 0.0046        | 10.0  | 930  | 0.0895          | 0.9870   | 0.8908   | 0.8908   | 0.9526          | 0.9526          | 0.8365       | 0.8365       |
+| 0.0022        | 11.0  | 1023 | 0.0903          | 0.9867   | 0.8972   | 0.8972   | 0.9136          | 0.9136          | 0.8814       | 0.8814       |
+| 0.0009        | 12.0  | 1116 | 0.0957          | 0.9889   | 0.9130   | 0.9130   | 0.9545          | 0.9545          | 0.875        | 0.875        |
+| 0.0005        | 13.0  | 1209 | 0.0931          | 0.9891   | 0.9149   | 0.9149   | 0.9547          | 0.9547          | 0.8782       | 0.8782       |
+| 0.0002        | 14.0  | 1302 | 0.0978          | 0.9891   | 0.9176   | 0.9176   | 0.9647          | 0.9647          | 0.875        | 0.875        |
+| 0.0001        | 15.0  | 1395 | 0.0982          | 0.9891   | 0.9176   | 0.9176   | 0.9647          | 0.9647          | 0.875        | 0.875        |
+| 0.0           | 16.0  | 1488 | 0.0986          | 0.9889   | 0.9161   | 0.9161   | 0.9613          | 0.9613          | 0.875        | 0.875        |
+| 0.0           | 17.0  | 1581 | 0.0990          | 0.9891   | 0.9176   | 0.9176   | 0.9647          | 0.9647          | 0.875        | 0.875        |
+| 0.0           | 18.0  | 1674 | 0.0991          | 0.9891   | 0.9176   | 0.9176   | 0.9647          | 0.9647          | 0.875        | 0.875        |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.20.3

config.json

@@ -0,0 +1,43 @@
+{
+  "_name_or_path": "albert/albert-base-v2",
+  "architectures": [
+    "AlbertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
+  "down_scale_factor": 1,
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "I-ERROR",
+    "1": "O",
+    "2": "B-ERROR"
+  },
+  "initializer_range": 0.02,
+  "inner_group_num": 1,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-ERROR": 2,
+    "I-ERROR": 0,
+    "O": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "albert",
+  "net_structure_type": 0,
+  "num_attention_heads": 12,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 12,
+  "num_memory_blocks": 0,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.3",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:49c490fdde27dcac38a547fd737ce6361ef627aac21699265e565f9abf47a8a4
+size 44384436

runs/Dec12_22-48-03_a365e7b9463b/events.out.tfevents.1734043683.a365e7b9463b.6288.10

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f10c064316afa74affc66217cbcaaf5182def0a180f77a4b7c111c23c0a2da55
+size 21401

special_tokens_map.json

@@ -0,0 +1,15 @@
+{
+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
+  "eos_token": "[SEP]",
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "[SEP]",
+  "unk_token": "<unk>"
+}

spiece.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fefb02b667a6c5c2fe27602d28e5fb3428f66ab89c7d6f388e7c8d44a02d0336
+size 760289

tokenizer_config.json

@@ -0,0 +1,57 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "[MASK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "eos_token": "[SEP]",
+  "keep_accents": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "remove_space": true,
+  "sep_token": "[SEP]",
+  "tokenizer_class": "AlbertTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4d99f867605616c94ebc6c1ef048aa7da46fcab84d4d3176b1031cf0b7d67fea
+size 5304