End of training

README.md

@@ -0,0 +1,60 @@
+---
+base_model: ProsusAI/finbert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: ProsusAI-finbert-2500-samples-fine-tune
+  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. -->
+
+# ProsusAI-finbert-2500-samples-fine-tune
+
+This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9329
+- Accuracy: 0.828
+- F1: 0.828
+- Mse: 0.37
+- Mae: 0.238
+
+## 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: 10
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Jul29_03-57-02_e415112a0b85/events.out.tfevents.1722225428.e415112a0b85.2162.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3863a64bcccc82fd1c06c8eb947714ac89174df29c593d470d3ca945e059ddad
-size 5585
+oid sha256:4a7bf8a929a22a9991c8786285ad91326a5ffa7fdfc86715545d06ce6bf162c3
+size 5939

runs/Jul29_03-57-02_e415112a0b85/events.out.tfevents.1722226107.e415112a0b85.2162.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d640c41cd72a0fcd8213375bf3aecee90eb0ad5f7448138fe826bff36045815
+size 551