End of training

README.md

@@ -0,0 +1,60 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: finetuning-sentiment-model-3000-samples
+  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. -->
+
+# finetuning-sentiment-model-3000-samples
+
+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: 0.3543
+- Accuracy: 0.8667
+- F1: 0.8718
+
+## 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: 2
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

runs/Oct18_08-35-12_ff8b4a3f30ee/events.out.tfevents.1729240514.ff8b4a3f30ee.193.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:696cbd6711c32a82e995963763dfb166ab7bb34da6b2a204a70dee69cf2d19fb
-size 4849
+oid sha256:26f4515dcbe91ebdc47c7c0db3cc721948f2f47590564cf5a66510923dbe2aff
+size 5203

runs/Oct18_08-35-12_ff8b4a3f30ee/events.out.tfevents.1729240853.ff8b4a3f30ee.193.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a4ad3d191b9eb5018dd9ac37ccd744bf92d9e9f33e52339b173911056a16f378
+size 457