End of training

README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-large-cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: bert-large-cased-topic_classification
+  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. -->
+
+# bert-large-cased-topic_classification
+
+This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7479
+- Precision: 0.4458
+- Recall: 0.4498
+- F1: 0.4445
+- Accuracy: 0.8586
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 44   | 0.4136          | 0.6930    | 0.7081 | 0.6990 | 0.9192   |
+| No log        | 2.0   | 88   | 0.2667          | 0.5405    | 0.5322 | 0.5340 | 0.8990   |
+| No log        | 3.0   | 132  | 0.3692          | 0.4629    | 0.4494 | 0.4560 | 0.9091   |
+| No log        | 4.0   | 176  | 0.7460          | 0.3903    | 0.3684 | 0.3778 | 0.8485   |
+| No log        | 5.0   | 220  | 0.6232          | 0.4687    | 0.4670 | 0.4668 | 0.9091   |
+| No log        | 6.0   | 264  | 0.5646          | 0.4648    | 0.4670 | 0.4649 | 0.9091   |
+| No log        | 7.0   | 308  | 0.7408          | 0.4458    | 0.4498 | 0.4445 | 0.8586   |
+| No log        | 8.0   | 352  | 0.7967          | 0.4458    | 0.4498 | 0.4445 | 0.8586   |
+| No log        | 9.0   | 396  | 0.7559          | 0.4458    | 0.4498 | 0.4445 | 0.8586   |
+| No log        | 10.0  | 440  | 0.7479          | 0.4458    | 0.4498 | 0.4445 | 0.8586   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,51 @@
+{
+  "_name_or_path": "bert-large-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "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": "4.44.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3dbb69062ccacc64a8e1b3219e3a71c01c4d9adc36cbeda3f440bbbede9fa91a
+size 1334392764

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a25cf73fc9a2e2a83d155da2daba13a2ff08f73af77d022c8a0142c76f4a3467
+size 5240