Model save
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: pszemraj/MiniLMv2-L6-H384_R-fineweb-100k
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: MiniLMv2-L6-H384_R-fineweb-100k-OCR-quality-classification-cls
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# MiniLMv2-L6-H384_R-fineweb-100k-OCR-quality-classification-cls
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [pszemraj/MiniLMv2-L6-H384_R-fineweb-100k](https://huggingface.co/pszemraj/MiniLMv2-L6-H384_R-fineweb-100k) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.0185
|
| 21 |
+
- Accuracy: 0.996
|
| 22 |
+
- Num Input Tokens Seen: 57341952
|
| 23 |
+
|
| 24 |
+
## Model description
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Intended uses & limitations
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training and evaluation data
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training procedure
|
| 37 |
+
|
| 38 |
+
### Training hyperparameters
|
| 39 |
+
|
| 40 |
+
The following hyperparameters were used during training:
|
| 41 |
+
- learning_rate: 3e-05
|
| 42 |
+
- train_batch_size: 8
|
| 43 |
+
- eval_batch_size: 8
|
| 44 |
+
- seed: 42
|
| 45 |
+
- gradient_accumulation_steps: 8
|
| 46 |
+
- total_train_batch_size: 64
|
| 47 |
+
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
|
| 48 |
+
- lr_scheduler_type: linear
|
| 49 |
+
- lr_scheduler_warmup_ratio: 0.05
|
| 50 |
+
- num_epochs: 2.0
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Input Tokens Seen |
|
| 55 |
+
|:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:|
|
| 56 |
+
| 0.0298 | 0.2660 | 250 | 0.0448 | 0.99 | 8192000 |
|
| 57 |
+
| 0.0141 | 0.5321 | 500 | 0.0330 | 0.99 | 16384000 |
|
| 58 |
+
| 0.02 | 0.7981 | 750 | 0.0298 | 0.99 | 24576000 |
|
| 59 |
+
| 0.0085 | 1.0641 | 1000 | 0.0222 | 0.994 | 32765952 |
|
| 60 |
+
| 0.0174 | 1.3301 | 1250 | 0.0207 | 0.994 | 40957952 |
|
| 61 |
+
| 0.0104 | 1.5962 | 1500 | 0.0202 | 0.996 | 49149952 |
|
| 62 |
+
| 0.0237 | 1.8622 | 1750 | 0.0185 | 0.996 | 57341952 |
|
| 63 |
+
|
| 64 |
+
|
| 65 |
+
### Framework versions
|
| 66 |
+
|
| 67 |
+
- Transformers 4.40.2
|
| 68 |
+
- Pytorch 2.2.0+cu121
|
| 69 |
+
- Datasets 2.19.1
|
| 70 |
+
- Tokenizers 0.19.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 121195136
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8d6949b7f79ea40cf9bdffca1d1e132c8788dfbab1a6f343e4d832b088d000d4
|
| 3 |
size 121195136
|