metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: unsloth/tinyllama-bnb-4bit
metrics:
- accuracy
model-index:
- name: tinyllama-qwantz-coherent
results: []
tinyllama-qwantz-coherent
This model is a fine-tuned version of unsloth/tinyllama-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5015
- Accuracy: 0.8650
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4508 | 1.0 | 1428 | 0.3631 | 0.8509 |
| 0.4223 | 2.0 | 2856 | 0.4421 | 0.8617 |
| 0.147 | 3.0 | 4284 | 0.5015 | 0.8650 |
Can save 90% of coherent strings by discarding 79% of dp strings (cutoff is -60.36113500595093)
Can save 95% of coherent strings by discarding 70% of dp strings (cutoff is -76.16859674453735)
Can save 98% of coherent strings by discarding 58% of dp strings (cutoff is -91.0932719707489)
Can save 99% of coherent strings by discarding 40% of dp strings (cutoff is -96.55501246452332)
My only problem (s) have to do with ==> coherent: 95.82%
My only problem (s) to cheer them personally ==> dp: 99.89%
(in small text) crazy utahraptor ==> coherent: 60.62%
(in small text) ". ==> dp: 58.77%
Well, I've made up my own joke to get him today. All I need to do is " ==> coherent: 52.12%
Well, I've made up my own joke to get him today. All I need a father and gentlemen ==> dp: 99.77%
I will be immortalized by kicking an evil ==> coherent: 50.01%
I will be immortalized by kicking other punches ==> dp: 58.54%
Aw shoot, I was supposed to ==> coherent: 92.77%
Aw shoot, I was APOCALYPSE PORN ==> dp: 79.21%
Get it? Because CRIME DOESN'T PAY!! Listen, my story has ==> dp: 59.16%
Get it? Because CRIME DOESN'T PAY!! Listen, transcriptions of it ==> dp: 80.30%
Utahraptor!! DON'T LISTEN TO ==> coherent: 90.59%
Utahraptor! This is sort of ==> dp: 88.15%
Doesn't exist in my mouth, that is!! Because it's too big ==> coherent: 95.82%
Doesn't exist in my mouth, that is!! Because if Superman. ==> dp: 99.44%
Now, HERE'S how ==> coherent: 94.16%
Now, guys would ==> dp: 73.45%
But I am a rock star ==> coherent: 98.57%
But I am a guy come ==> dp: 96.79%
But I have a solution to make them interesting again: all you need is stories where not ==> dp: 64.66%
But I have a solution to make them interesting again: all you need is gonna! Diseases ==> dp: 99.92%
At that point, there's a sequence of six nines in a row, and his joke was that he'd like to memorize pi up to that point, so that when reciting he could end with "9,9,9,9,9,9... and so on. " Others ==> dp: 77.18%
At that point, there's a sequence of six nines in a row, and his joke was that he'd like to memorize pi up to that point, so that when reciting he could end with "9,9,9,9,9,9... and so it's great he looks ==> dp: 99.98%
This is definitely called " T -Rex's Hilarious e joke ", okay ==> coherent: 77.15%
This is definitely called " T -Rex's Hilarious e joke AND IN THE ==> dp: 99.15%
" Your mouth is full of cockroaches: ==> coherent: 72.25%
" Your mouth is full of smooches. ==> coherent: 80.86%
Excuse me, sexual congress? Everyone else on the planet is dead, and ==> coherent: 93.15%
Excuse me, sexual congress? Everyone else on the planet without syntactic ambiguity! ==> dp: 96.98%
Sony is going to write swears on my bathroom ==> dp: 50.96%
Sony is going to write their babies need to ==> dp: 99.89%
Beginning with the most modest: why am I ==> coherent: 90.87%
Beginning with the most modest: why T - ==> dp: 84.62%
Is there any greater meaning -to anything ==> dp: 93.76%
Is there any greater meaning? When you ==> coherent: 57.11%
I've also got steaks AND ==> coherent: 83.50%
I've also cold -deterministic ==> dp: 99.30%
I had a friend (female) who dated her roommate (also female) ==> coherent: 99.24%
I had a friend (female) who dated her roommate, je suis grand ==> dp: 99.30%
Yes... TOO BAD INDEED ==> coherent: 70.86%
Yes... TOO MANY YEARS ==> coherent: 64.13%
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1