metadata
library_name: transformers
language:
- en
license: apache-2.0
base_model: BEE-spoke-data/tFINE-680m-e32-d16-infinity_instruct-L1
tags:
- generated_from_trainer
model-index:
- name: tFINE-680m-e32-d16-infinity_instruct-L1-infinity-instruct-7m-T2T_en-1024
results: []
tFINE-680m-e32-d16-infinity_instruct-L1-infinity-instruct-7m-T2T_en-1024
This model is a fine-tuned version of BEE-spoke-data/tFINE-680m-e32-d16-infinity_instruct-L1 on the pszemraj/infinity-instruct-7m-T2T_en dataset. It achieves the following results on the evaluation set:
- Loss: 1.3139
- Num Input Tokens Seen: 361724696
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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 17868
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- total_eval_batch_size: 8
- optimizer: Use paged_ademamix_32bit and the args are: No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 1.4008 | 0.2534 | 1000 | 1.4020 | 91375832 |
| 1.3456 | 0.5068 | 2000 | 1.3669 | 182939052 |
| 1.3437 | 0.7602 | 3000 | 1.3378 | 274855796 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1