End of training
Browse files- README.md +118 -0
- generation_config.json +5 -0
- model.safetensors +1 -1
README.md
ADDED
@@ -0,0 +1,118 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
base_model: google/muril-large-cased
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
model-index:
|
7 |
+
- name: muril-large-cased-tweet-devnagri-grouped
|
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 |
+
# muril-large-cased-tweet-devnagri-grouped
|
15 |
+
|
16 |
+
This model is a fine-tuned version of [google/muril-large-cased](https://huggingface.co/google/muril-large-cased) on an unknown dataset.
|
17 |
+
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 1.4110
|
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: 2e-05
|
38 |
+
- train_batch_size: 64
|
39 |
+
- eval_batch_size: 64
|
40 |
+
- seed: 42
|
41 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
42 |
+
- lr_scheduler_type: linear
|
43 |
+
- num_epochs: 3
|
44 |
+
|
45 |
+
### Training results
|
46 |
+
|
47 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
48 |
+
|:-------------:|:------:|:------:|:---------------:|
|
49 |
+
| No log | 0.0478 | 5000 | 2.5496 |
|
50 |
+
| No log | 0.0955 | 10000 | 2.1840 |
|
51 |
+
| No log | 0.1433 | 15000 | 2.0172 |
|
52 |
+
| No log | 0.1910 | 20000 | 1.9188 |
|
53 |
+
| No log | 0.2388 | 25000 | 1.8525 |
|
54 |
+
| No log | 0.2865 | 30000 | 1.8047 |
|
55 |
+
| No log | 0.3343 | 35000 | 1.7694 |
|
56 |
+
| No log | 0.3820 | 40000 | 1.7406 |
|
57 |
+
| No log | 0.4298 | 45000 | 1.7076 |
|
58 |
+
| No log | 0.4775 | 50000 | 1.6848 |
|
59 |
+
| No log | 0.5253 | 55000 | 1.6713 |
|
60 |
+
| No log | 0.5730 | 60000 | 1.6543 |
|
61 |
+
| No log | 0.6208 | 65000 | 1.6364 |
|
62 |
+
| No log | 0.6685 | 70000 | 1.6226 |
|
63 |
+
| No log | 0.7163 | 75000 | 1.6103 |
|
64 |
+
| No log | 0.7640 | 80000 | 1.5976 |
|
65 |
+
| No log | 0.8118 | 85000 | 1.5925 |
|
66 |
+
| No log | 0.8595 | 90000 | 1.5883 |
|
67 |
+
| No log | 0.9073 | 95000 | 1.5763 |
|
68 |
+
| No log | 0.9550 | 100000 | 1.5581 |
|
69 |
+
| 1.9195 | 1.0028 | 105000 | 1.5774 |
|
70 |
+
| 1.9195 | 1.0505 | 110000 | 1.5507 |
|
71 |
+
| 1.9195 | 1.0983 | 115000 | 1.5728 |
|
72 |
+
| 1.9195 | 1.1460 | 120000 | 1.5328 |
|
73 |
+
| 1.9195 | 1.1938 | 125000 | 1.5265 |
|
74 |
+
| 1.9195 | 1.2415 | 130000 | 1.5199 |
|
75 |
+
| 1.9195 | 1.2893 | 135000 | 1.5216 |
|
76 |
+
| 1.9195 | 1.3370 | 140000 | 1.5098 |
|
77 |
+
| 1.9195 | 1.3848 | 145000 | 1.5061 |
|
78 |
+
| 1.9195 | 1.4325 | 150000 | 1.4985 |
|
79 |
+
| 1.9195 | 1.4803 | 155000 | 1.4943 |
|
80 |
+
| 1.9195 | 1.5280 | 160000 | 1.4933 |
|
81 |
+
| 1.9195 | 1.5758 | 165000 | 1.4853 |
|
82 |
+
| 1.9195 | 1.6235 | 170000 | 1.4778 |
|
83 |
+
| 1.9195 | 1.6713 | 175000 | 1.4797 |
|
84 |
+
| 1.9195 | 1.7190 | 180000 | 1.4702 |
|
85 |
+
| 1.9195 | 1.7668 | 185000 | 1.4958 |
|
86 |
+
| 1.9195 | 1.8145 | 190000 | 1.4683 |
|
87 |
+
| 1.9195 | 1.8623 | 195000 | 1.4748 |
|
88 |
+
| 1.9195 | 1.9100 | 200000 | 1.4560 |
|
89 |
+
| 1.9195 | 1.9578 | 205000 | 1.4553 |
|
90 |
+
| 1.5744 | 2.0055 | 210000 | 1.4431 |
|
91 |
+
| 1.5744 | 2.0533 | 215000 | 1.4432 |
|
92 |
+
| 1.5744 | 2.1010 | 220000 | 1.4446 |
|
93 |
+
| 1.5744 | 2.1488 | 225000 | 1.4407 |
|
94 |
+
| 1.5744 | 2.1965 | 230000 | 1.4454 |
|
95 |
+
| 1.5744 | 2.2443 | 235000 | 1.4371 |
|
96 |
+
| 1.5744 | 2.2920 | 240000 | 1.4351 |
|
97 |
+
| 1.5744 | 2.3398 | 245000 | 1.4291 |
|
98 |
+
| 1.5744 | 2.3875 | 250000 | 1.4293 |
|
99 |
+
| 1.5744 | 2.4353 | 255000 | 1.4245 |
|
100 |
+
| 1.5744 | 2.4830 | 260000 | 1.4253 |
|
101 |
+
| 1.5744 | 2.5308 | 265000 | 1.4305 |
|
102 |
+
| 1.5744 | 2.5785 | 270000 | 1.4221 |
|
103 |
+
| 1.5744 | 2.6263 | 275000 | 1.4181 |
|
104 |
+
| 1.5744 | 2.6740 | 280000 | 1.4146 |
|
105 |
+
| 1.5744 | 2.7218 | 285000 | 1.4149 |
|
106 |
+
| 1.5744 | 2.7695 | 290000 | 1.4131 |
|
107 |
+
| 1.5744 | 2.8173 | 295000 | 1.4155 |
|
108 |
+
| 1.5744 | 2.8650 | 300000 | 1.4137 |
|
109 |
+
| 1.5744 | 2.9128 | 305000 | 1.4119 |
|
110 |
+
| 1.5744 | 2.9605 | 310000 | 1.4070 |
|
111 |
+
|
112 |
+
|
113 |
+
### Framework versions
|
114 |
+
|
115 |
+
- Transformers 4.45.0
|
116 |
+
- Pytorch 2.4.1+cu121
|
117 |
+
- Datasets 3.0.1
|
118 |
+
- Tokenizers 0.20.0
|
generation_config.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"pad_token_id": 0,
|
4 |
+
"transformers_version": "4.45.0"
|
5 |
+
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2024473756
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fc675e684f6fc26f10e3f601be06cd9631609673d79c8d92352499c4833a2e7b
|
3 |
size 2024473756
|