Training complete

README.md

@@ -0,0 +1,75 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: BioMedical_NER-maccrobat-distilbert
+  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. -->
+
+# BioMedical_NER-maccrobat-distilbert
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9979
+- Precision: 0.4681
+- Recall: 0.5719
+- F1: 0.5148
+- Accuracy: 0.7371
+
+## 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: 8
+- 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   | 45   | 1.7911          | 0.0       | 0.0    | 0.0    | 0.6197   |
+| No log        | 2.0   | 90   | 1.5118          | 0.3469    | 0.0414 | 0.0739 | 0.6378   |
+| No log        | 3.0   | 135  | 1.3141          | 0.3698    | 0.2341 | 0.2867 | 0.6706   |
+| No log        | 4.0   | 180  | 1.1994          | 0.4085    | 0.3350 | 0.3681 | 0.6906   |
+| No log        | 5.0   | 225  | 1.1360          | 0.4134    | 0.4395 | 0.4261 | 0.6997   |
+| No log        | 6.0   | 270  | 1.0721          | 0.4492    | 0.4708 | 0.4597 | 0.7188   |
+| No log        | 7.0   | 315  | 1.0519          | 0.4414    | 0.5356 | 0.4840 | 0.7229   |
+| No log        | 8.0   | 360  | 1.0100          | 0.4724    | 0.5421 | 0.5049 | 0.7357   |
+| No log        | 9.0   | 405  | 1.0026          | 0.4663    | 0.5679 | 0.5121 | 0.7358   |
+| No log        | 10.0  | 450  | 0.9979          | 0.4681    | 0.5719 | 0.5148 | 0.7371   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:269eac68462b8ccfe37be75ec25a2ccd3e5ed17336c46bc8ada0d7cd2c9b6d77
+oid sha256:4f2eeb33b4132f0fabc928b319e395cbdc0feed370e20621171575dfefe891a5
 size 265738597