End of training

README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+license: cc-by-4.0
+base_model: Goader/liberta-large
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: liberta-large_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. -->
+
+# liberta-large_ner
+
+This model is a fine-tuned version of [Goader/liberta-large](https://huggingface.co/Goader/liberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3665
+- Precision: 0.9206
+- Recall: 0.9363
+- F1: 0.9275
+- Accuracy: 0.9548
+
+## 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  | 0.2759          | 0.8856    | 0.9109 | 0.8963 | 0.9300   |
+| 0.3117        | 2.0   | 876  | 0.2289          | 0.9165    | 0.9251 | 0.9201 | 0.9493   |
+| 0.1293        | 3.0   | 1314 | 0.3084          | 0.9111    | 0.9205 | 0.9147 | 0.9465   |
+| 0.0687        | 4.0   | 1752 | 0.2430          | 0.9171    | 0.9343 | 0.9249 | 0.9534   |
+| 0.0399        | 5.0   | 2190 | 0.2581          | 0.9284    | 0.9334 | 0.9292 | 0.9564   |
+| 0.0223        | 6.0   | 2628 | 0.2819          | 0.9258    | 0.9368 | 0.9301 | 0.9563   |
+| 0.0149        | 7.0   | 3066 | 0.3421          | 0.9158    | 0.9354 | 0.9252 | 0.9527   |
+| 0.005         | 8.0   | 3504 | 0.3694          | 0.9162    | 0.9337 | 0.9238 | 0.9527   |
+| 0.005         | 9.0   | 3942 | 0.3357          | 0.9241    | 0.9387 | 0.9308 | 0.9563   |
+| 0.0029        | 10.0  | 4380 | 0.3665          | 0.9206    | 0.9363 | 0.9275 | 0.9548   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,45 @@
+{
+  "_name_or_path": "Goader/liberta-large",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "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,
+  "position_embedding_type": "absolute",
+  "sep_token_id": 3,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14614f93850324edec3840e087d6fbcdf6bd085b10ad80ec9d8e366e1c88de85
+size 1342498556

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a83ab755435826838570bbdc0e96a8bf9206f093a0345f3bd1448822b354dbe2
+size 5176