End of training

README.md

@@ -0,0 +1,75 @@
+---
+license: cc-by-4.0
+base_model: allegro/herbert-large-cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: herbert-large-cased_ner
+  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. -->
+
+# herbert-large-cased_ner
+
+This model is a fine-tuned version of [allegro/herbert-large-cased](https://huggingface.co/allegro/herbert-large-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3281
+- Precision: 0.9354
+- Recall: 0.9326
+- F1: 0.9337
+- Accuracy: 0.9598
+
+## 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   | 438  | 0.2556          | 0.8915    | 0.8923 | 0.8918 | 0.9369   |
+| 0.311         | 2.0   | 876  | 0.1920          | 0.9101    | 0.9107 | 0.9102 | 0.9473   |
+| 0.1466        | 3.0   | 1314 | 0.2481          | 0.9050    | 0.9058 | 0.9048 | 0.9442   |
+| 0.093         | 4.0   | 1752 | 0.2565          | 0.9187    | 0.9276 | 0.9229 | 0.9537   |
+| 0.0584        | 5.0   | 2190 | 0.2620          | 0.9216    | 0.9306 | 0.9260 | 0.9543   |
+| 0.037         | 6.0   | 2628 | 0.2891          | 0.9263    | 0.9310 | 0.9282 | 0.9533   |
+| 0.0169        | 7.0   | 3066 | 0.3159          | 0.9288    | 0.9314 | 0.9300 | 0.9564   |
+| 0.0123        | 8.0   | 3504 | 0.3317          | 0.9359    | 0.9348 | 0.9345 | 0.9606   |
+| 0.0123        | 9.0   | 3942 | 0.3097          | 0.9357    | 0.9305 | 0.9327 | 0.9594   |
+| 0.0048        | 10.0  | 4380 | 0.3281          | 0.9354    | 0.9326 | 0.9337 | 0.9598   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,50 @@
+{
+  "_name_or_path": "allegro/herbert-large-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "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": 514,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "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",
+  "tokenizer_class": "HerbertTokenizerFast",
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 50000
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b959c66f05da36c7408e3a792c73bd3c00584f6f6399e86437b6c28aeaaede7
+size 1416234796

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d3572150c856f169a9e0b0942a6a2fea8ef35441f0ba32bd43401d2d0917692e
+size 5112