End of training

README.md

@@ -0,0 +1,61 @@
+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Harm_detection
+  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. -->
+
+# Harm_detection
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1006
+- Accuracy: 0.9672
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 223  | 0.0982          | 0.9659   |
+| No log        | 2.0   | 446  | 0.1006          | 0.9672   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b8dbf4c0dc4cc7de8b6d375c2d5ffea29cae5ba9576075dfd893ae834d538f21
+oid sha256:a0f1cc31d87d116e79193bfc403d2428310744edf4453dd2613a89a350558d7d
 size 267832560

runs/Apr06_22-48-58_4b7613de9d2f/events.out.tfevents.1712443738.4b7613de9d2f.26.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5771ed0968c74c0c01d57a9dadecf33293c01ec584f214776f72a1fc783248fa
-size 5213
+oid sha256:7ce72606140ca91a13a271679a792f8118c5fd3a675a05cd3339508f82a78719
+size 5567