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---
license: apache-2.0
base_model: EleutherAI/pythia-410m-deduped
tags:
- generated_from_trainer
model-index:
- name: databricks-dolly-15k-pythia-410m-deduped
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. -->
# databricks-dolly-15k-pythia-410m-deduped
This model is a fine-tuned version of [EleutherAI/pythia-410m-deduped](https://huggingface.co/EleutherAI/pythia-410m-deduped) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0108
## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| No log | 1.0 | 1501 | 2.0141 |
| 1.9792 | 2.0 | 3002 | 2.0016 |
| 1.9792 | 3.0 | 4503 | 2.0007 |
| 1.8117 | 4.0 | 6004 | 2.0033 |
| 1.8117 | 5.0 | 7505 | 2.0066 |
| 1.7612 | 6.0 | 9006 | 2.0075 |
| 1.7612 | 7.0 | 10507 | 2.0092 |
| 1.7469 | 8.0 | 12008 | 2.0110 |
| 1.7469 | 9.0 | 13509 | 2.0110 |
| 1.7438 | 10.0 | 15010 | 2.0108 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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