Model save
Browse files- README.md +121 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
README.md
ADDED
@@ -0,0 +1,121 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: csebuetnlp/banglat5
|
3 |
+
tags:
|
4 |
+
- generated_from_trainer
|
5 |
+
model-index:
|
6 |
+
- name: banglat5-bcoqa
|
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 |
+
# banglat5-bcoqa
|
14 |
+
|
15 |
+
This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on the None dataset.
|
16 |
+
It achieves the following results on the evaluation set:
|
17 |
+
- Loss: 1.4135
|
18 |
+
|
19 |
+
## Model description
|
20 |
+
|
21 |
+
More information needed
|
22 |
+
|
23 |
+
## Intended uses & limitations
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Training and evaluation data
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training procedure
|
32 |
+
|
33 |
+
### Training hyperparameters
|
34 |
+
|
35 |
+
The following hyperparameters were used during training:
|
36 |
+
- learning_rate: 5e-05
|
37 |
+
- train_batch_size: 6
|
38 |
+
- eval_batch_size: 6
|
39 |
+
- seed: 42
|
40 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
41 |
+
- lr_scheduler_type: linear
|
42 |
+
- num_epochs: 2
|
43 |
+
|
44 |
+
### Training results
|
45 |
+
|
46 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
47 |
+
|:-------------:|:-----:|:-----:|:---------------:|
|
48 |
+
| 6.2253 | 0.03 | 700 | 2.8997 |
|
49 |
+
| 3.5361 | 0.06 | 1400 | 2.5143 |
|
50 |
+
| 2.8585 | 0.09 | 2100 | 2.3899 |
|
51 |
+
| 2.7763 | 0.12 | 2800 | 2.3435 |
|
52 |
+
| 2.6044 | 0.15 | 3500 | 2.3001 |
|
53 |
+
| 2.6166 | 0.18 | 4200 | 2.2498 |
|
54 |
+
| 2.5002 | 0.21 | 4900 | 2.1958 |
|
55 |
+
| 2.4498 | 0.24 | 5600 | 2.1454 |
|
56 |
+
| 2.4349 | 0.27 | 6300 | 2.1049 |
|
57 |
+
| 2.3176 | 0.3 | 7000 | 2.0382 |
|
58 |
+
| 2.2667 | 0.33 | 7700 | 1.9124 |
|
59 |
+
| 2.2382 | 0.36 | 8400 | 1.7847 |
|
60 |
+
| 2.1296 | 0.39 | 9100 | 1.6963 |
|
61 |
+
| 2.0856 | 0.42 | 9800 | 1.6489 |
|
62 |
+
| 2.0527 | 0.45 | 10500 | 1.6299 |
|
63 |
+
| 2.0363 | 0.48 | 11200 | 1.6085 |
|
64 |
+
| 1.9999 | 0.51 | 11900 | 1.5947 |
|
65 |
+
| 1.9888 | 0.54 | 12600 | 1.5661 |
|
66 |
+
| 1.9438 | 0.58 | 13300 | 1.5666 |
|
67 |
+
| 1.9365 | 0.61 | 14000 | 1.5636 |
|
68 |
+
| 1.9311 | 0.64 | 14700 | 1.5502 |
|
69 |
+
| 1.9649 | 0.67 | 15400 | 1.5419 |
|
70 |
+
| 1.9782 | 0.7 | 16100 | 1.5309 |
|
71 |
+
| 1.8764 | 0.73 | 16800 | 1.5147 |
|
72 |
+
| 1.9236 | 0.76 | 17500 | 1.5066 |
|
73 |
+
| 1.8818 | 0.79 | 18200 | 1.4963 |
|
74 |
+
| 1.9031 | 0.82 | 18900 | 1.4939 |
|
75 |
+
| 1.8583 | 0.85 | 19600 | 1.4923 |
|
76 |
+
| 1.8436 | 0.88 | 20300 | 1.4948 |
|
77 |
+
| 1.8258 | 0.91 | 21000 | 1.4784 |
|
78 |
+
| 1.8701 | 0.94 | 21700 | 1.4642 |
|
79 |
+
| 1.8413 | 0.97 | 22400 | 1.4807 |
|
80 |
+
| 1.8417 | 1.0 | 23100 | 1.4654 |
|
81 |
+
| 1.7898 | 1.03 | 23800 | 1.4711 |
|
82 |
+
| 1.7661 | 1.06 | 24500 | 1.4632 |
|
83 |
+
| 1.7223 | 1.09 | 25200 | 1.4514 |
|
84 |
+
| 1.7461 | 1.12 | 25900 | 1.4568 |
|
85 |
+
| 1.7457 | 1.15 | 26600 | 1.4492 |
|
86 |
+
| 1.7588 | 1.18 | 27300 | 1.4500 |
|
87 |
+
| 1.6475 | 1.21 | 28000 | 1.4515 |
|
88 |
+
| 1.7428 | 1.24 | 28700 | 1.4377 |
|
89 |
+
| 1.782 | 1.27 | 29400 | 1.4456 |
|
90 |
+
| 1.6906 | 1.3 | 30100 | 1.4435 |
|
91 |
+
| 1.6865 | 1.33 | 30800 | 1.4378 |
|
92 |
+
| 1.7806 | 1.36 | 31500 | 1.4327 |
|
93 |
+
| 1.7444 | 1.39 | 32200 | 1.4372 |
|
94 |
+
| 1.7136 | 1.42 | 32900 | 1.4293 |
|
95 |
+
| 1.7252 | 1.45 | 33600 | 1.4246 |
|
96 |
+
| 1.7209 | 1.48 | 34300 | 1.4218 |
|
97 |
+
| 1.7523 | 1.51 | 35000 | 1.4283 |
|
98 |
+
| 1.6808 | 1.54 | 35700 | 1.4216 |
|
99 |
+
| 1.7167 | 1.57 | 36400 | 1.4246 |
|
100 |
+
| 1.7246 | 1.6 | 37100 | 1.4171 |
|
101 |
+
| 1.7614 | 1.63 | 37800 | 1.4204 |
|
102 |
+
| 1.6704 | 1.66 | 38500 | 1.4116 |
|
103 |
+
| 1.6823 | 1.7 | 39200 | 1.4213 |
|
104 |
+
| 1.6744 | 1.73 | 39900 | 1.4236 |
|
105 |
+
| 1.7086 | 1.76 | 40600 | 1.4197 |
|
106 |
+
| 1.7179 | 1.79 | 41300 | 1.4156 |
|
107 |
+
| 1.6223 | 1.82 | 42000 | 1.4205 |
|
108 |
+
| 1.6817 | 1.85 | 42700 | 1.4159 |
|
109 |
+
| 1.6786 | 1.88 | 43400 | 1.4131 |
|
110 |
+
| 1.7163 | 1.91 | 44100 | 1.4147 |
|
111 |
+
| 1.6381 | 1.94 | 44800 | 1.4131 |
|
112 |
+
| 1.6961 | 1.97 | 45500 | 1.4134 |
|
113 |
+
| 1.6247 | 2.0 | 46200 | 1.4135 |
|
114 |
+
|
115 |
+
|
116 |
+
### Framework versions
|
117 |
+
|
118 |
+
- Transformers 4.39.0.dev0
|
119 |
+
- Pytorch 2.2.1+cu121
|
120 |
+
- Datasets 2.16.1
|
121 |
+
- Tokenizers 0.15.1
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"decoder_start_token_id": 0,
|
4 |
+
"eos_token_id": 1,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.39.0.dev0"
|
7 |
+
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 990345064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:780f05fc85b88d659f8342c802070c0fca973cc922c990f20ae5d1972ad23c56
|
3 |
size 990345064
|