End of training

README.md

@@ -0,0 +1,62 @@
+---
+license: apache-2.0
+base_model: google/bigbird-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bigbird-roberta-base-finetuned-enem
+  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. -->
+
+# bigbird-roberta-base-finetuned-enem
+
+This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6094
+- Accuracy: 0.2053
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.6199        | 1.0   | 933  | 1.6094          | 0.2063   |
+| 1.623         | 2.0   | 1866 | 1.6094          | 0.2079   |
+| 1.6214        | 3.0   | 2799 | 1.6094          | 0.2053   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:86ca3153c72323c3b344092ae2661f9546e3a00d4fd6f85908562f5bd2543c6d
+oid sha256:cb6a972ea08e239338377d19a15d2aa56ece9f3140bdbbf5fb160aeeef6089e8
 size 509901812

runs/Nov29_23-32-36_672ace0a629b/events.out.tfevents.1701300823.672ace0a629b.4967.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:98a378039b5788cf302efbc7a98d12abb10a012ab330a31e7edfa30ee3236432
-size 5911
+oid sha256:3d179317d22909d22e83e27f85ad6508c29da450b811ae1c44e79be87708b5da
+size 6588