Upload folder using huggingface_hub

README.md

@@ -0,0 +1,56 @@
+---
+base_model: cardiffnlp/twitter-roberta-base-sentiment
+tags:
+- generated_from_trainer
+model-index:
+- name: sentiment_analysis
+  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. -->
+
+# sentiment_analysis
+
+This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.6515
+- eval_f1: 0.7725
+- eval_precision: 0.7900
+- eval_recall: 0.777
+- eval_runtime: 9.4868
+- eval_samples_per_second: 210.82
+- eval_steps_per_second: 26.352
+- step: 0
+
+## 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: 5e-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
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f2208a49c8af1fbf130ce1d0c43196b2e58ae1c344b8e9211ec16bb97ce103a7
+oid sha256:4e6f07a51ca079208f27aff97f1a47cb6b675a5499ce50ad4fa697e53027a784
 size 498615900

runs/Nov07_11-04-52_561278627e68/events.out.tfevents.1699356074.561278627e68.1424.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcd17ec6b7436e850ad6145e0a266f89c96fba367d64ec7115c7b6524223c0c7
+size 437