End of training

README.md

@@ -0,0 +1,67 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-base-uncased-finetuned-spam-ham
+  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-spam-ham
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3864
+
+## 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.1646        | 1.0   | 120  | 2.8095          |
+| 2.8263        | 2.0   | 240  | 2.6643          |
+| 2.7054        | 3.0   | 360  | 2.5747          |
+| 2.6113        | 4.0   | 480  | 2.5085          |
+| 2.546         | 5.0   | 600  | 2.4482          |
+| 2.489         | 6.0   | 720  | 2.3980          |
+| 2.4689        | 7.0   | 840  | 2.4005          |
+| 2.4327        | 8.0   | 960  | 2.3899          |
+| 2.4146        | 9.0   | 1080 | 2.3535          |
+| 2.4191        | 10.0  | 1200 | 2.3689          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:929f3dfdc6ec4b09bd2bf79aaf5cc5fab9a812249f769f0a05da8cadfbd1ad79
+oid sha256:3d1e0359e186588c4f25e2e8b8bceb96a28fc8769aaf4b8c122f675f4b40cefd
 size 267954768

runs/Jun12_12-33-52_36a37f13522b/events.out.tfevents.1718195641.36a37f13522b.239.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5ce574cbc22cd3855dff3c89cd000c230c1637d89a83bd747c485753eabe7bcf
-size 8822
+oid sha256:0a12b63f499076bdb1606dd5f4cd03bc59846aa4aaedad9b0e2066c39dd21adb
+size 10140

runs/Jun12_12-33-52_36a37f13522b/events.out.tfevents.1718196123.36a37f13522b.239.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21daa65953b696cda0ba46f57d8292274f4b0557edd1a798de6e587cf435b971
+size 359