Training complete

README.md

@@ -0,0 +1,52 @@
+---
+license: mit
+base_model: FacebookAI/roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta_base_TextClass_IMDB_adafactor
+  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. -->
+
+# roberta_base_TextClass_IMDB_adafactor
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
+
+## 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: 5
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.3.0+cu118
+- Datasets 2.19.0
+- Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:76e21084cb92aae90a78012e1afb9973b5139677612ab3ca304b2bbc2dc204a8
+oid sha256:0cb8fd062124d3de8ea642f2a404d76bcfd627beae78fabb52b4a79e78bdb20f
 size 498658094

test_metrics.json

@@ -0,0 +1,3 @@
+{
+    "test_accuracy": 0.95448
+}

train_losses.csv

@@ -0,0 +1,33 @@
+loss,epoch
+0.3771,0.16
+0.2988,0.32
+0.3083,0.48
+0.2859,0.64
+0.2674,0.8
+0.2695,0.96
+0.1869,1.12
+0.1987,1.28
+0.2158,1.44
+0.1779,1.6
+0.1949,1.76
+0.1896,1.92
+0.1317,2.08
+0.116,2.24
+0.1082,2.4
+0.0951,2.56
+0.1068,2.72
+0.1222,2.88
+0.0989,3.04
+0.0626,3.2
+0.0675,3.36
+0.0425,3.52
+0.0506,3.68
+0.0608,3.84
+0.04,4.0
+0.0306,4.16
+0.0474,4.32
+0.0273,4.48
+0.0317,4.64
+0.0433,4.8
+0.0296,4.96
+0.13712727940368652,5.0