Update README.md
Browse files
README.md
CHANGED
|
@@ -5,47 +5,25 @@ tags:
|
|
| 5 |
model-index:
|
| 6 |
- name: ProGemma
|
| 7 |
results: []
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
-
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 11 |
-
should probably proofread and complete it, then remove this comment. -->
|
| 12 |
|
| 13 |
# ProGemma
|
| 14 |
|
| 15 |
-
This
|
| 16 |
|
| 17 |
-
## Model description
|
| 18 |
-
|
| 19 |
-
More information needed
|
| 20 |
-
|
| 21 |
-
## Intended uses & limitations
|
| 22 |
-
|
| 23 |
-
More information needed
|
| 24 |
|
| 25 |
-
##
|
| 26 |
-
|
| 27 |
-
More information needed
|
| 28 |
-
|
| 29 |
-
## Training procedure
|
| 30 |
-
|
| 31 |
-
### Training hyperparameters
|
| 32 |
|
| 33 |
-
The following hyperparameters were used during training:
|
| 34 |
-
- learning_rate: 0.001
|
| 35 |
-
- train_batch_size: 1
|
| 36 |
-
- eval_batch_size: 8
|
| 37 |
-
- seed: 42
|
| 38 |
-
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 39 |
-
- lr_scheduler_type: linear
|
| 40 |
-
- lr_scheduler_warmup_ratio: 0.4
|
| 41 |
-
- training_steps: 5000
|
| 42 |
|
| 43 |
-
### Training results
|
| 44 |
|
|
|
|
| 45 |
|
|
|
|
| 46 |
|
| 47 |
### Framework versions
|
| 48 |
|
| 49 |
- Transformers 4.42.4
|
| 50 |
- Pytorch 2.3.1+cu121
|
| 51 |
-
- Tokenizers 0.19.1
|
|
|
|
| 5 |
model-index:
|
| 6 |
- name: ProGemma
|
| 7 |
results: []
|
| 8 |
+
pipeline_tag: text-generation
|
| 9 |
---
|
| 10 |
|
|
|
|
|
|
|
| 11 |
|
| 12 |
# ProGemma
|
| 13 |
|
| 14 |
+
This is a custom configuration of Google's Gemma 2 model that was pre-trained on amino acid sequences of lengths 0 to 512.
|
| 15 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
|
| 17 |
+
## Model description
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
|
|
|
|
| 20 |
|
| 21 |
+
## Intended uses & limitations
|
| 22 |
|
| 23 |
+
The purpose of this model was to
|
| 24 |
|
| 25 |
### Framework versions
|
| 26 |
|
| 27 |
- Transformers 4.42.4
|
| 28 |
- Pytorch 2.3.1+cu121
|
| 29 |
+
- Tokenizers 0.19.1
|