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---
license: apache-2.0
base_model: google/t5-v1_1-small
tags:
- generated_from_trainer
model-index:
- name: SChem5Labels-google-t5-v1_1-small-intra_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SChem5Labels-google-t5-v1_1-small-intra_model
This model is a fine-tuned version of [google/t5-v1_1-small](https://huggingface.co/google/t5-v1_1-small) on the None dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.7917
- Loss: inf
- Losses: [1, 1, 0.4, 0.4, 1.0, 1, 1.0, 1.0, 0.4, 0.8, 1.0, 0.6000000000000001, 0.4, 1, 0.8, 1.0, 1, 0.4, 1, 1.0, 1, 1.0, 1.0, 1.0, 1.0, 1.0, 1, 1.0, 1, 0.8, 0.2, 0.8, 0.6000000000000001, 0.6000000000000001, 1, 1.0, 1, 0.8, 1.0, 1, 1.0, 1.0, 0.4, 1, 1, 1.0, 0.8, 1, 1.0, 0.6000000000000001, 1.0, 1.0, 1.0, 1, 1.0, 1, 1.0, 0.6000000000000001, 1, 1.0, 1, 1, 1, 0.4, 1, 1, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1, 1.0, 0.8, 0.6000000000000001, 0.6000000000000001, 1, 0.6000000000000001, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.0, 0.6000000000000001, 0.6000000000000001, 0.2, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.8, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 1, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 1.0, 0.6000000000000001, 0.0, 0.6000000000000001, 0.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1, 1, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 0.8, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 1.0, 0.6000000000000001, 1.0, 1.0, 1.0, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.2, 1.0, 0.6000000000000001, 1.0, 1, 1.0, 0.6000000000000001, 0.6000000000000001, 1, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 0.4, 1.0, 1, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1, 0.6000000000000001, 0.8, 0.6000000000000001, 1, 1.0, 1.0, 1.0, 0.6000000000000001, 1, 1.0, 0.8, 0.8, 0.6000000000000001, 0.8, 1.0, 0.4, 1.0, 0.6000000000000001, 1.0, 0.8, 1.0, 0.6000000000000001, 0.6000000000000001, 0.4, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 1.0, 1, 1.0, 1, 1, 0.6000000000000001, 1.0, 1.0, 0.8, 1, 0.6000000000000001, 0.6000000000000001, 1, 1, 1.0, 1, 0.8, 0.6000000000000001, 0.4, 1, 1.0, 0.6000000000000001, 1, 1, 1.0, 1, 1, 0.4, 1, 1.0, 1, 0.0, 0.8, 0.6000000000000001, 0.4, 1.0, 0.2, 1.0, 0.6000000000000001, 0.2, 0.4, 1, 0.6000000000000001, 1.0, 1, 1.0, 1, 1, 0.6000000000000001, 1, 1, 1, 0.0, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 0.4, 0.6000000000000001, 1, 1.0, 1, 1, 0.4, 1.0, 1.0, 1, 0.8, 1, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1, 1.0, 0.2, 1.0, 1, 0.8, 1, 1, 0.4, 0.4, 1.0, 0.0, 1.0, 0.8, 0.6000000000000001, 1.0, 1.0, 1.0, 0.8, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 1.0, 0.6000000000000001, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8, 1.0, 1, 1.0, 1, 1.0, 0.6000000000000001, 0.4, 1, 0.6000000000000001, 0.4, 1, 1, 1, 1.0, 0.4, 1, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 1, 0.6000000000000001, 1.0, 0.6000000000000001, 0.8, 1, 1.0, 0.4, 1.0, 0.8, 1, 1.0, 0.8, 0.4, 1.0, 0.4, 0.6000000000000001, 1, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 1, 1]
## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
### Training results
| Training Loss | Epoch | Step | Train Loss | Validation Loss | Losses |
|:-------------:|:-----:|:----:|:----------:|:---------------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| 405015552.0 | 1.0 | 99 | 0.7933 | 389655456.0 | [1.0, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.0, 0.6000000000000001, 0.6000000000000001, 0.4, 0.8, 0.8, 1, 1, 1, 0.4, 0.4, 1.0, 1, 0.6000000000000001, 1, 1, 1.0, 1.0, 0.8, 0.4, 1, 0.6000000000000001, 0.8, 0.6000000000000001, 1.0, 1.0, 1, 0.6000000000000001, 1.0, 1, 0.8, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 1, 1.0, 0.8, 1, 1.0, 1, 1.0, 1.0, 1.0, 1.0, 0.6000000000000001, 1.0, 1.0, 1, 1.0, 1.0, 1.0, 0.8, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 1, 1.0, 0.6000000000000001, 1, 0.6000000000000001, 0.4, 1.0, 1.0, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 0.8, 1.0, 1.0, 1.0, 1.0, 1.0, 1, 0.6000000000000001, 1, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 0.8, 1, 0.6000000000000001, 0.4, 1.0, 0.6000000000000001, 0.6000000000000001, 1, 1, 0.6000000000000001, 1, 1.0, 1, 0.4, 1, 0.8, 0.6000000000000001, 1, 1.0, 1.0, 0.6000000000000001, 1, 1, 1.0, 1, 0.0, 0.4, 1, 0.6000000000000001, 0.4, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.8, 0.6000000000000001, 0.6000000000000001, 0.4, 0.6000000000000001, 1, 0.6000000000000001, 0.6000000000000001, 1, 1.0, 0.8, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 0.8, 0.6000000000000001, 1.0, 1.0, 1, 0.6000000000000001, 1, 0.8, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1, 1, 1.0, 0.8, 1.0, 0.6000000000000001, 0.6000000000000001, 1, 0.2, 0.8, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.8, 1, 1, 0.8, 0.6000000000000001, 0.4, 0.6000000000000001, 0.4, 1.0, 1.0, 0.6000000000000001, 0.8, 0.4, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 0.8, 1, 1.0, 1.0, 1, 1.0, 1.0, 1.0, 1, 0.6000000000000001, 1, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6000000000000001, 1, 1, 0.8, 1.0, 1.0, 0.6000000000000001, 0.8, 0.0, 1.0, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 1, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 1, 1, 0.6000000000000001, 1, 0.8, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.4, 1, 1, 0.6000000000000001, 0.6000000000000001, 0.8, 1, 1.0, 1, 0.6000000000000001, 1.0, 0.8, 0.8, 0.6000000000000001, 1, 1, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.8, 0.6000000000000001, 1, 0.6000000000000001, 0.0, 1, 0.6000000000000001, 1.0, 1, 0.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 1, 1, 1.0, 0.4, 1, 1.0, 0.0, 0.6000000000000001, 1, 1, 0.8, 0.6000000000000001, 0.4, 0.4, 1, 0.4, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.8, 1, 1.0, 1, 0.6000000000000001, 0.8, 1, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 0.8, 0.4, 1, 1, 0.4, 0.6000000000000001, 1.0, 1, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 1.0, 0.6000000000000001, 1, 1.0, 0.8, 0.8, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.8, 1, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.4, 0.6000000000000001, 0.6000000000000001, 1, 0.4, 1, 1, 1, 0.6000000000000001, 0.8, 1, 1.0, 1.0, 0.2, 1.0, 1.0, 1, 0.6000000000000001, 1.0, 0.4, 0.6000000000000001, 1] |
| 414025753.6 | 2.0 | 198 | 0.7944 | 389655456.0 | [1.0, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.0, 0.6000000000000001, 0.6000000000000001, 0.4, 1.0, 0.8, 1, 1, 0.6000000000000001, 0.4, 0.4, 1.0, 1, 1, 1.0, 1, 1.0, 1.0, 0.6000000000000001, 0.4, 0.6000000000000001, 0.6000000000000001, 0.8, 0.6000000000000001, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.8, 0.8, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.8, 1, 1.0, 0.8, 1, 1.0, 0.6000000000000001, 1.0, 1.0, 1.0, 1.0, 0.6000000000000001, 1.0, 1.0, 1, 1.0, 1.0, 1.0, 1, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.8, 1, 1.0, 0.6000000000000001, 1, 0.6000000000000001, 0.4, 1.0, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.8, 1.0, 1.0, 1.0, 1.0, 1.0, 1, 0.6000000000000001, 1, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.4, 1.0, 0.6000000000000001, 0.6000000000000001, 1, 1, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 0.4, 0.8, 0.6000000000000001, 0.6000000000000001, 1, 0.6000000000000001, 1.0, 0.6000000000000001, 1, 1, 1.0, 0.6000000000000001, 0.0, 1.0, 1, 1, 0.4, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.8, 0.6000000000000001, 0.6000000000000001, 0.4, 0.6000000000000001, 1, 0.6000000000000001, 0.6000000000000001, 1, 0.6000000000000001, 0.8, 1.0, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 0.8, 0.6000000000000001, 1.0, 1.0, 1, 1, 1, 0.8, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 1.0, 0.0, 1.0, 0.6000000000000001, 0.6000000000000001, 1, 0.8, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.8, 1, 1, 1, 0.6000000000000001, 0.4, 0.6000000000000001, 0.4, 1.0, 1.0, 0.6000000000000001, 0.8, 0.4, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.4, 1.0, 0.6000000000000001, 1, 1, 1.0, 1.0, 1, 1.0, 1.0, 1.0, 1, 0.6000000000000001, 1, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6000000000000001, 1, 1, 1.0, 1.0, 1.0, 0.6000000000000001, 1, 0.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 1, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 1, 1, 0.6000000000000001, 1, 0.8, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.4, 1, 1, 0.6000000000000001, 0.6000000000000001, 0.8, 1, 1.0, 1, 0.6000000000000001, 1.0, 0.8, 0.8, 0.6000000000000001, 1, 1, 0.6000000000000001, 0.6000000000000001, 1, 0.6000000000000001, 1.0, 1.0, 0.8, 0.6000000000000001, 0.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.8, 0.4, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 1, 1, 1.0, 0.4, 1, 0.6000000000000001, 0.4, 0.6000000000000001, 0.6000000000000001, 1, 1, 0.6000000000000001, 0.4, 1, 1, 0.4, 1.0, 1.0, 0.6000000000000001, 1.0, 1.0, 0.8, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 0.8, 1, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 1.0, 0.6000000000000001, 1.0, 1, 1.0, 0.4, 1, 1, 0.4, 0.6000000000000001, 1.0, 1, 1.0, 0.6000000000000001, 1.0, 1.0, 1.0, 0.6000000000000001, 1, 1, 1, 1, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 0.8, 1, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 1, 0.6000000000000001, 0.6000000000000001, 0.8, 1, 0.6000000000000001, 1.0, 0.8, 1.0, 1.0, 1, 0.6000000000000001, 1.0, 0.4, 0.6000000000000001, 1] |
| 408233881.6 | 3.0 | 297 | 0.7944 | 389655424.0 | [1.0, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.0, 0.6000000000000001, 0.6000000000000001, 0.4, 1.0, 0.8, 1, 1, 0.6000000000000001, 0.4, 0.4, 1.0, 1, 1, 1.0, 1, 1.0, 1.0, 0.6000000000000001, 0.4, 0.6000000000000001, 0.6000000000000001, 0.8, 0.6000000000000001, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.8, 0.8, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.8, 1, 1.0, 0.8, 1, 1.0, 0.6000000000000001, 1.0, 1.0, 1.0, 1.0, 0.6000000000000001, 1.0, 1.0, 1, 1.0, 1.0, 1.0, 1, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.8, 1, 1.0, 0.6000000000000001, 1, 0.6000000000000001, 0.4, 1.0, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.8, 1.0, 1.0, 1.0, 1.0, 1.0, 1, 0.6000000000000001, 1, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.4, 1.0, 0.6000000000000001, 0.6000000000000001, 1, 1, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 0.4, 0.8, 0.6000000000000001, 0.6000000000000001, 1, 0.6000000000000001, 1.0, 0.6000000000000001, 1, 1, 1.0, 0.6000000000000001, 0.0, 1.0, 1, 1, 0.4, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.8, 0.6000000000000001, 0.6000000000000001, 0.4, 0.6000000000000001, 1, 0.6000000000000001, 0.6000000000000001, 1, 0.6000000000000001, 0.8, 1.0, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 0.8, 0.6000000000000001, 1.0, 1.0, 1, 1, 1, 0.8, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 1.0, 0.0, 1.0, 0.6000000000000001, 0.6000000000000001, 1, 0.8, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.8, 1, 1, 1, 0.6000000000000001, 0.4, 0.6000000000000001, 0.4, 1.0, 1.0, 0.6000000000000001, 0.8, 0.4, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.4, 1.0, 0.6000000000000001, 1, 1, 1.0, 1.0, 1, 1.0, 1.0, 1.0, 1, 0.6000000000000001, 1, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6000000000000001, 1, 1, 1.0, 1.0, 1.0, 0.6000000000000001, 1, 0.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 1, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 1, 1, 0.6000000000000001, 1, 0.8, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.4, 1, 1, 0.6000000000000001, 0.6000000000000001, 0.8, 1, 1.0, 1, 0.6000000000000001, 1.0, 0.8, 0.8, 0.6000000000000001, 1, 1, 0.6000000000000001, 0.6000000000000001, 1, 0.6000000000000001, 1.0, 1.0, 0.8, 0.6000000000000001, 0.0, 0.6000000000000001, 0.6000000000000001, 1.0, 0.8, 0.4, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 1, 1, 1.0, 0.4, 1, 0.6000000000000001, 0.4, 0.6000000000000001, 0.6000000000000001, 1, 1, 0.6000000000000001, 0.4, 1, 1, 0.4, 1.0, 1.0, 0.6000000000000001, 1.0, 1.0, 0.8, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 0.8, 1, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 1.0, 0.6000000000000001, 1.0, 1, 1.0, 0.4, 1, 1, 0.4, 0.6000000000000001, 1.0, 1, 1.0, 0.6000000000000001, 1.0, 1.0, 1.0, 0.6000000000000001, 1, 1, 1, 1, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 0.8, 1, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 1, 0.6000000000000001, 0.6000000000000001, 0.8, 1, 0.6000000000000001, 1.0, 0.8, 1.0, 1.0, 1, 0.6000000000000001, 1.0, 0.4, 0.6000000000000001, 1] |
| 421449728.0 | 4.0 | 396 | 0.8507 | 389655392.0 | [0.6000000000000001, 0.6000000000000001, 1.0, 1, 1.0, 0.0, 0.6000000000000001, 0.6000000000000001, 1, 1.0, 0.8, 1, 1, 1, 0.4, 1, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 0.6000000000000001, 0.8, 0.6000000000000001, 1.0, 1.0, 1, 0.6000000000000001, 1.0, 1, 1, 0.6000000000000001, 1.0, 0.6000000000000001, 0.8, 0.6000000000000001, 1.0, 1, 1.0, 1.0, 1, 1, 1.0, 0.6000000000000001, 1.0, 1, 1.0, 1.0, 1, 1.0, 1, 1, 1.0, 0.6000000000000001, 1.0, 1, 1.0, 0.6000000000000001, 0.8, 1.0, 0.8, 1.0, 1.0, 0.6000000000000001, 1, 1, 0.4, 1.0, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 1, 1, 1.0, 1.0, 1.0, 0.6000000000000001, 1, 1, 0.8, 1, 1.0, 0.6000000000000001, 1.0, 0.6000000000000001, 1, 1.0, 1.0, 1.0, 1, 0.6000000000000001, 0.4, 0.6000000000000001, 1, 1.0, 1, 1, 0.6000000000000001, 0.6000000000000001, 1.0, 0.6000000000000001, 0.4, 0.8, 0.6000000000000001, 0.6000000000000001, 1, 1, 1.0, 1.0, 1, 1, 1.0, 0.6000000000000001, 0.0, 1.0, 1, 0.6000000000000001, 0.4, 0.6000000000000001, 1.0, 0.6000000000000001, 0.8, 1, 1, 1, 1, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1, 0.6000000000000001, 1, 1.0, 0.6000000000000001, 0.4, 1.0, 0.6000000000000001, 0.6000000000000001, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1.0, 0.0, 0.6000000000000001, 1, 0.6000000000000001, 1, 0.8, 1.0, 1, 1.0, 1.0, 1, 1.0, 1, 1, 0.6000000000000001, 1, 0.8, 1, 1.0, 0.6000000000000001, 1.0, 1, 0.4, 0.6000000000000001, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.4, 1.0, 0.8, 1, 1.0, 1, 1, 0.6000000000000001, 1, 1.0, 1, 1.0, 1, 1, 1.0, 1.0, 1.0, 0.6000000000000001, 1, 1, 1.0, 1, 1.0, 1, 1.0, 1, 1, 1, 0.6000000000000001, 1, 0.6000000000000001, 1, 0.6000000000000001, 1, 0.4, 1, 0.6000000000000001, 0.6000000000000001, 1, 1, 0.6000000000000001, 1.0, 1, 1, 1.0, 1, 1.0, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 1, 0.8, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 0.6000000000000001, 1.0, 0.8, 1, 0.0, 0.6000000000000001, 1, 1.0, 0.8, 0.4, 0.6000000000000001, 0.6000000000000001, 1, 1, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 1, 1, 1.0, 1, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.4, 1, 1, 0.4, 1.0, 1.0, 0.6000000000000001, 1.0, 1, 1, 1.0, 1.0, 0.6000000000000001, 1.0, 1, 1, 0.6000000000000001, 1, 1.0, 1.0, 0.6000000000000001, 0.6000000000000001, 1.0, 1, 0.6000000000000001, 0.4, 1, 1, 1, 1.0, 1.0, 1, 1, 0.6000000000000001, 1, 0.4, 1.0, 1, 1, 1, 1, 1, 1.0, 1, 1.0, 0.6000000000000001, 1.0, 1, 1, 0.6000000000000001, 1.0, 0.6000000000000001, 0.6000000000000001, 1, 0.6000000000000001, 0.8, 1, 1, 1.0, 0.6000000000000001, 1, 1, 1, 0.6000000000000001, 1.0, 0.8, 1.0, 1.0, 0.6000000000000001, 1, 1.0, 0.4, 0.6000000000000001, 1] |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.6.1
- Tokenizers 0.14.1
|