End of training
Browse files- README.md +97 -0
- adapter_model.bin +1 -1
README.md
ADDED
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: tiiuae/falcon-7b
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
model-index:
|
7 |
+
- name: falcon-rewrite-581-smallset
|
8 |
+
results: []
|
9 |
+
---
|
10 |
+
|
11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
12 |
+
should probably proofread and complete it, then remove this comment. -->
|
13 |
+
|
14 |
+
# falcon-rewrite-581-smallset
|
15 |
+
|
16 |
+
This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset.
|
17 |
+
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 1.8029
|
19 |
+
|
20 |
+
## Model description
|
21 |
+
|
22 |
+
More information needed
|
23 |
+
|
24 |
+
## Intended uses & limitations
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Training and evaluation data
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training procedure
|
33 |
+
|
34 |
+
### Training hyperparameters
|
35 |
+
|
36 |
+
The following hyperparameters were used during training:
|
37 |
+
- learning_rate: 0.0005
|
38 |
+
- train_batch_size: 4
|
39 |
+
- eval_batch_size: 4
|
40 |
+
- seed: 42
|
41 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
42 |
+
- lr_scheduler_type: cosine
|
43 |
+
- lr_scheduler_warmup_ratio: 0.03
|
44 |
+
- num_epochs: 4
|
45 |
+
|
46 |
+
### Training results
|
47 |
+
|
48 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
49 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
50 |
+
| 2.4551 | 0.04 | 10 | 2.4085 |
|
51 |
+
| 1.4203 | 0.08 | 20 | 2.3957 |
|
52 |
+
| 1.6967 | 0.13 | 30 | 2.1396 |
|
53 |
+
| 1.5897 | 0.17 | 40 | 2.2547 |
|
54 |
+
| 1.4068 | 0.21 | 50 | 2.2484 |
|
55 |
+
| 2.4724 | 0.25 | 60 | 2.1803 |
|
56 |
+
| 1.6358 | 0.3 | 70 | 2.0363 |
|
57 |
+
| 1.7565 | 0.34 | 80 | 2.3048 |
|
58 |
+
| 1.9326 | 0.38 | 90 | 2.2237 |
|
59 |
+
| 1.4726 | 0.42 | 100 | 1.9666 |
|
60 |
+
| 2.6885 | 0.47 | 110 | 2.0889 |
|
61 |
+
| 1.7221 | 0.51 | 120 | 2.0868 |
|
62 |
+
| 2.7958 | 0.55 | 130 | 2.0033 |
|
63 |
+
| 1.6916 | 0.59 | 140 | 2.0824 |
|
64 |
+
| 0.9544 | 0.64 | 150 | 2.1048 |
|
65 |
+
| 1.8363 | 0.68 | 160 | 1.9306 |
|
66 |
+
| 2.2805 | 0.72 | 170 | 2.0956 |
|
67 |
+
| 2.2398 | 0.76 | 180 | 2.1049 |
|
68 |
+
| 1.0369 | 0.81 | 190 | 2.0348 |
|
69 |
+
| 0.9023 | 0.85 | 200 | 1.9050 |
|
70 |
+
| 1.1511 | 0.89 | 210 | 2.0645 |
|
71 |
+
| 1.1805 | 0.93 | 220 | 1.9241 |
|
72 |
+
| 1.0402 | 0.97 | 230 | 2.0542 |
|
73 |
+
| 1.1116 | 1.02 | 240 | 1.9184 |
|
74 |
+
| 2.2786 | 1.06 | 250 | 2.0039 |
|
75 |
+
| 1.5313 | 1.1 | 260 | 1.9232 |
|
76 |
+
| 1.0101 | 1.14 | 270 | 1.8365 |
|
77 |
+
| 1.3444 | 1.19 | 280 | 1.9812 |
|
78 |
+
| 1.9973 | 1.23 | 290 | 2.0105 |
|
79 |
+
| 1.001 | 1.27 | 300 | 1.8029 |
|
80 |
+
| 1.5717 | 1.31 | 310 | 1.8190 |
|
81 |
+
| 1.7842 | 1.36 | 320 | 2.0034 |
|
82 |
+
| 0.841 | 1.4 | 330 | 2.0345 |
|
83 |
+
| 0.9212 | 1.44 | 340 | 1.9301 |
|
84 |
+
| 1.6442 | 1.48 | 350 | 2.0139 |
|
85 |
+
| 2.0697 | 1.53 | 360 | 2.1341 |
|
86 |
+
| 1.0772 | 1.57 | 370 | 2.0179 |
|
87 |
+
| 1.4152 | 1.61 | 380 | 1.8754 |
|
88 |
+
| 0.912 | 1.65 | 390 | 1.9178 |
|
89 |
+
| 1.7032 | 1.69 | 400 | 1.9235 |
|
90 |
+
|
91 |
+
|
92 |
+
### Framework versions
|
93 |
+
|
94 |
+
- Transformers 4.32.1
|
95 |
+
- Pytorch 2.0.1
|
96 |
+
- Datasets 2.14.5
|
97 |
+
- Tokenizers 0.13.3
|
adapter_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 65978769
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ca3a18a634ab68f918dd9588afac501e8a8d4a7d8500e6814aa2fe08465ff23f
|
3 |
size 65978769
|