Commit
•
cfeef81
1
Parent(s):
13c6698
rishavranaut/llama2-7B_final_MT
Browse files- README.md +76 -0
- adapter_model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
base_model: Qwen/Qwen2-7B
|
| 7 |
+
metrics:
|
| 8 |
+
- accuracy
|
| 9 |
+
- precision
|
| 10 |
+
- recall
|
| 11 |
+
model-index:
|
| 12 |
+
- name: llama2-7B_final_MT
|
| 13 |
+
results: []
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 17 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 18 |
+
|
| 19 |
+
# llama2-7B_final_MT
|
| 20 |
+
|
| 21 |
+
This model is a fine-tuned version of [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) on the None dataset.
|
| 22 |
+
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 0.5523
|
| 24 |
+
- Accuracy: 0.8117
|
| 25 |
+
- Precision: 0.7913
|
| 26 |
+
- Recall: 0.8467
|
| 27 |
+
- F1 score: 0.8180
|
| 28 |
+
|
| 29 |
+
## Model description
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Intended uses & limitations
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training and evaluation data
|
| 38 |
+
|
| 39 |
+
More information needed
|
| 40 |
+
|
| 41 |
+
## Training procedure
|
| 42 |
+
|
| 43 |
+
### Training hyperparameters
|
| 44 |
+
|
| 45 |
+
The following hyperparameters were used during training:
|
| 46 |
+
- learning_rate: 0.0001
|
| 47 |
+
- train_batch_size: 16
|
| 48 |
+
- eval_batch_size: 8
|
| 49 |
+
- seed: 42
|
| 50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 51 |
+
- lr_scheduler_type: linear
|
| 52 |
+
- num_epochs: 5
|
| 53 |
+
|
| 54 |
+
### Training results
|
| 55 |
+
|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 score |
|
| 57 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
|
| 58 |
+
| 0.8396 | 0.5 | 200 | 0.8733 | 0.645 | 0.6064 | 0.8267 | 0.6996 |
|
| 59 |
+
| 0.6541 | 1.0 | 400 | 0.6882 | 0.695 | 0.7127 | 0.6533 | 0.6817 |
|
| 60 |
+
| 0.4601 | 1.5 | 600 | 0.6691 | 0.7067 | 0.6505 | 0.8933 | 0.7528 |
|
| 61 |
+
| 0.4437 | 2.0 | 800 | 0.5010 | 0.7833 | 0.7690 | 0.81 | 0.7890 |
|
| 62 |
+
| 0.3406 | 2.5 | 1000 | 0.5010 | 0.7767 | 0.7823 | 0.7667 | 0.7744 |
|
| 63 |
+
| 0.2919 | 3.0 | 1200 | 0.4927 | 0.8117 | 0.8127 | 0.81 | 0.8114 |
|
| 64 |
+
| 0.2219 | 3.5 | 1400 | 0.4971 | 0.8217 | 0.8044 | 0.85 | 0.8266 |
|
| 65 |
+
| 0.2154 | 4.0 | 1600 | 0.6404 | 0.7633 | 0.7147 | 0.8767 | 0.7874 |
|
| 66 |
+
| 0.1381 | 4.5 | 1800 | 0.5391 | 0.815 | 0.8 | 0.84 | 0.8195 |
|
| 67 |
+
| 0.1531 | 5.0 | 2000 | 0.5523 | 0.8117 | 0.7913 | 0.8467 | 0.8180 |
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
### Framework versions
|
| 71 |
+
|
| 72 |
+
- PEFT 0.11.1
|
| 73 |
+
- Transformers 4.44.2
|
| 74 |
+
- Pytorch 2.3.0+cu121
|
| 75 |
+
- Datasets 2.19.1
|
| 76 |
+
- Tokenizers 0.19.1
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 40428968
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:49288d466bfad1a8d9b166ed0a2191159ad555a5baa169e1532f91a09e3d2472
|
| 3 |
size 40428968
|