Commit
•
7365345
1
Parent(s):
e4aee3d
End of training
Browse files- README.md +111 -0
- generation_config.json +6 -0
- model.safetensors +1 -1
README.md
ADDED
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: nobody12321/poker-pretrain
|
3 |
+
tags:
|
4 |
+
- generated_from_trainer
|
5 |
+
model-index:
|
6 |
+
- name: poker-pretraining
|
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 |
+
# poker-pretraining
|
14 |
+
|
15 |
+
This model is a fine-tuned version of [nobody12321/poker-pretrain](https://huggingface.co/nobody12321/poker-pretrain) on an unknown dataset.
|
16 |
+
It achieves the following results on the evaluation set:
|
17 |
+
- Loss: 1.7246
|
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: 0.0005
|
37 |
+
- train_batch_size: 1
|
38 |
+
- eval_batch_size: 1
|
39 |
+
- seed: 42
|
40 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
41 |
+
- lr_scheduler_type: cosine
|
42 |
+
- lr_scheduler_warmup_steps: 1000
|
43 |
+
- num_epochs: 1
|
44 |
+
- mixed_precision_training: Native AMP
|
45 |
+
|
46 |
+
### Training results
|
47 |
+
|
48 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
49 |
+
|:-------------:|:------:|:------:|:---------------:|
|
50 |
+
| 2.651 | 0.0183 | 5000 | 2.3357 |
|
51 |
+
| 2.2946 | 0.0367 | 10000 | 2.2261 |
|
52 |
+
| 2.2212 | 0.0550 | 15000 | 2.1725 |
|
53 |
+
| 2.1702 | 0.0733 | 20000 | 2.1131 |
|
54 |
+
| 2.1332 | 0.0917 | 25000 | 2.0965 |
|
55 |
+
| 2.1062 | 0.1100 | 30000 | 2.0647 |
|
56 |
+
| 2.0854 | 0.1283 | 35000 | 2.0518 |
|
57 |
+
| 2.0688 | 0.1466 | 40000 | 2.0344 |
|
58 |
+
| 2.0556 | 0.1650 | 45000 | 2.0200 |
|
59 |
+
| 2.045 | 0.1833 | 50000 | 2.0177 |
|
60 |
+
| 2.0349 | 0.2016 | 55000 | 1.9994 |
|
61 |
+
| 2.0254 | 0.2200 | 60000 | 1.9950 |
|
62 |
+
| 2.0175 | 0.2383 | 65000 | 1.9861 |
|
63 |
+
| 2.0093 | 0.2566 | 70000 | 1.9792 |
|
64 |
+
| 2.0013 | 0.2750 | 75000 | 1.9761 |
|
65 |
+
| 1.9946 | 0.2933 | 80000 | 1.9676 |
|
66 |
+
| 1.988 | 0.3116 | 85000 | 1.9606 |
|
67 |
+
| 1.9817 | 0.3299 | 90000 | 1.9544 |
|
68 |
+
| 1.9729 | 0.3483 | 95000 | 1.9465 |
|
69 |
+
| 1.9662 | 0.3666 | 100000 | 1.9471 |
|
70 |
+
| 1.9597 | 0.3849 | 105000 | 1.9351 |
|
71 |
+
| 1.9532 | 0.4033 | 110000 | 1.9313 |
|
72 |
+
| 1.9475 | 0.4216 | 115000 | 1.9283 |
|
73 |
+
| 1.9407 | 0.4399 | 120000 | 1.9223 |
|
74 |
+
| 1.9356 | 0.4583 | 125000 | 1.9139 |
|
75 |
+
| 1.9308 | 0.4766 | 130000 | 1.9094 |
|
76 |
+
| 1.9244 | 0.4949 | 135000 | 1.9038 |
|
77 |
+
| 1.9194 | 0.5132 | 140000 | 1.8983 |
|
78 |
+
| 1.9134 | 0.5316 | 145000 | 1.8951 |
|
79 |
+
| 1.9093 | 0.5499 | 150000 | 1.8904 |
|
80 |
+
| 1.9038 | 0.5682 | 155000 | 1.8826 |
|
81 |
+
| 1.898 | 0.5866 | 160000 | 1.8776 |
|
82 |
+
| 1.8931 | 0.6049 | 165000 | 1.8738 |
|
83 |
+
| 1.8878 | 0.6232 | 170000 | 1.8685 |
|
84 |
+
| 1.882 | 0.6416 | 175000 | 1.8633 |
|
85 |
+
| 1.8755 | 0.6599 | 180000 | 1.8573 |
|
86 |
+
| 1.87 | 0.6782 | 185000 | 1.8517 |
|
87 |
+
| 1.8648 | 0.6965 | 190000 | 1.8465 |
|
88 |
+
| 1.8587 | 0.7149 | 195000 | 1.8407 |
|
89 |
+
| 1.8537 | 0.7332 | 200000 | 1.8346 |
|
90 |
+
| 1.8358 | 0.7515 | 205000 | 1.8094 |
|
91 |
+
| 1.8207 | 0.7699 | 210000 | 1.7976 |
|
92 |
+
| 1.8109 | 0.7882 | 215000 | 1.7890 |
|
93 |
+
| 1.8031 | 0.8065 | 220000 | 1.7788 |
|
94 |
+
| 1.7926 | 0.8249 | 225000 | 1.7671 |
|
95 |
+
| 1.7821 | 0.8432 | 230000 | 1.7571 |
|
96 |
+
| 1.7756 | 0.8615 | 235000 | 1.7497 |
|
97 |
+
| 1.7678 | 0.8799 | 240000 | 1.7423 |
|
98 |
+
| 1.7627 | 0.8982 | 245000 | 1.7366 |
|
99 |
+
| 1.7581 | 0.9165 | 250000 | 1.7317 |
|
100 |
+
| 1.7538 | 0.9348 | 255000 | 1.7286 |
|
101 |
+
| 1.7513 | 0.9532 | 260000 | 1.7262 |
|
102 |
+
| 1.75 | 0.9715 | 265000 | 1.7251 |
|
103 |
+
| 1.7492 | 0.9898 | 270000 | 1.7246 |
|
104 |
+
|
105 |
+
|
106 |
+
### Framework versions
|
107 |
+
|
108 |
+
- Transformers 4.40.2
|
109 |
+
- Pytorch 2.3.0+cu121
|
110 |
+
- Datasets 2.19.1
|
111 |
+
- Tokenizers 0.19.1
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 50256,
|
4 |
+
"eos_token_id": 50256,
|
5 |
+
"transformers_version": "4.40.2"
|
6 |
+
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 547887744
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aa46096ab823d20f7cd6b4acb28939fe0fe74632734b8510c7c2e5ae63713e5a
|
3 |
size 547887744
|