---
library_name: transformers
license: apache-2.0
base_model: pszemraj/tFINE-850m-24x24-v0.5-instruct-L1
tags:
- generated_from_trainer
model-index:
- name: tFINE-850m-24x24-v0.5-instruct-L1-infinity-instruct-7m-T2T_en-1024-v2
  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. -->

# tFINE-850m-24x24-v0.5-instruct-L1-infinity-instruct-7m-T2T_en-1024-v2

This model is a fine-tuned version of [pszemraj/tFINE-850m-24x24-v0.5-instruct-L1](https://huggingface.co/pszemraj/tFINE-850m-24x24-v0.5-instruct-L1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2595
- Num Input Tokens Seen: 568955808

## 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: 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

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| 1.32          | 0.2527 | 2000 | 1.3214          | 189801824         |
| 1.2614        | 0.5053 | 4000 | 1.2815          | 379241088         |
| 1.2367        | 0.7580 | 6000 | 1.2595          | 568955808         |


### Framework versions

- Transformers 4.46.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.1