End of training

README.md

@@ -0,0 +1,72 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert-base-uncased-finetuned-sst2-midterm
+  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. -->
+
+# distilbert-base-uncased-finetuned-sst2-midterm
+
+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: 0.3341
+- Accuracy: 0.9048
+- F1: 0.9048
+- F1 0 Class: 0.9022
+- F1 1 Class: 0.9073
+- Precision 0 Class: 0.9097
+- Precision 1 Class: 0.9002
+- Recall 0 Class: 0.8949
+- Recall 1 Class: 0.9144
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | F1 0 Class | F1 1 Class | Precision 0 Class | Precision 1 Class | Recall 0 Class | Recall 1 Class |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:----------:|:----------:|:-----------------:|:-----------------:|:--------------:|:--------------:|
+| 0.4244        | 1.0   | 109  | 0.2882          | 0.8842   | 0.8841 | 0.8790     | 0.8889     | 0.9017            | 0.8688            | 0.8575         | 0.9099         |
+| 0.2289        | 2.0   | 218  | 0.2641          | 0.8922   | 0.8922 | 0.8889     | 0.8953     | 0.8995            | 0.8855            | 0.8785         | 0.9054         |
+| 0.1517        | 3.0   | 327  | 0.3000          | 0.8933   | 0.8934 | 0.8930     | 0.8937     | 0.8798            | 0.9072            | 0.9065         | 0.8806         |
+| 0.1048        | 4.0   | 436  | 0.3217          | 0.8991   | 0.8990 | 0.8952     | 0.9027     | 0.9126            | 0.8870            | 0.8785         | 0.9189         |
+| 0.0767        | 5.0   | 545  | 0.3341          | 0.9048   | 0.9048 | 0.9022     | 0.9073     | 0.9097            | 0.9002            | 0.8949         | 0.9144         |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:81753d18c645c2e42de20cc43e388621109ed00f69f9e1b7e7d4e45a27edd5e8
+oid sha256:33197c102ea842be58d8f1d545709ab19724ad6d176f15c3d32ee1ae1ac236bf
 size 267832560

runs/Mar02_12-19-14_9a0c7a9bb341/events.out.tfevents.1709381956.9a0c7a9bb341.326.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3dcece5e65d5adeb5199a40845e6df78d40074a643a495ab297a4dc409831285
-size 8218
+oid sha256:d4c54d8b52afde391a971ca3fa51c7c5ab47622a03ab8eb448dfb6ef4c501072
+size 9498

runs/Mar02_12-19-14_9a0c7a9bb341/events.out.tfevents.1709382497.9a0c7a9bb341.326.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f085d26fa7ecbc42d1e151ae7078051163239576e73d5f09d6a59aa3747c00a9
+size 803