tFINE-850m-24x24-instruct-L2
This model is a fine-tuned version of pszemraj/tFINE-850m-24x24-v0.5-instruct-L1 on the pszemraj/infinity-instruct-7m-T2T_en dataset (config deduped-L2).
It achieves the following results on the evaluation set:
- Loss: 1.2542
- Num Input Tokens Seen: 750938410
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3.5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 17868
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.PAGED_ADEMAMIX and the args are: No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1.0
- Downloads last month
- 16
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for pszemraj/tFINE-850m-24x24-instruct-L2
Base model
pszemraj/tFINE-850m-24x24-v0.4-flan_aug