This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the None dataset.
It achieves the following results on the evaluation set:
eval_loss: 10.4774
eval_runtime: 6.6088
eval_samples_per_second: 5.447
eval_steps_per_second: 0.303
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: 0.5
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 320
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
