End of training

README.md

@@ -0,0 +1,92 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- conll2003
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: distilbert-base-uncased-finetuned-ner
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: conll2003
+      type: conll2003
+      config: conll2003
+      split: validation
+      args: conll2003
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9269806094182825
+    - name: Recall
+      type: recall
+      value: 0.9358988701197002
+    - name: F1
+      type: f1
+      value: 0.931418392340236
+    - name: Accuracy
+      type: accuracy
+      value: 0.9833510731250099
+---
+
+<!-- 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. -->
+
+# distilbert-base-uncased-finetuned-ner
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the conll2003 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0611
+- Precision: 0.9270
+- Recall: 0.9359
+- F1: 0.9314
+- Accuracy: 0.9834
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.2403        | 1.0   | 878  | 0.0707          | 0.9057    | 0.9199 | 0.9128 | 0.9799   |
+| 0.0508        | 2.0   | 1756 | 0.0616          | 0.9281    | 0.9330 | 0.9305 | 0.9831   |
+| 0.031         | 3.0   | 2634 | 0.0611          | 0.9270    | 0.9359 | 0.9314 | 0.9834   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f8d5b3b786b3eadf05fc0f51c824652fd4e93b362b514155bb2ef8d4e443388c
+oid sha256:da6437c635498168569bf10a3189e35570e476f462eb6fdec6b3b9ca4a5e2f80
 size 265491548

runs/Nov22_16-19-25_de2192421472/events.out.tfevents.1700670010.de2192421472.461.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:69cc49f3f25b4fcb5d7e790265a42351d36bba91eba12a2bf5d8d7d2f0517960
-size 6265
+oid sha256:b2e6775489d7843fb8faed6931ff8bae2ffdd13d095a3fb5a4db43eacf45860c
+size 7091

runs/Nov22_16-19-25_de2192421472/events.out.tfevents.1700670282.de2192421472.461.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f6d24e456468299f4ad89043b03de808d3c49ff24b9765ced5ce7b28096ae6f
+size 560