dannoncaffeine commited on
Commit
ab9baeb
·
1 Parent(s): 3ceb892

End of training

Browse files
Files changed (3) hide show
  1. README.md +55 -11
  2. generation_config.json +6 -0
  3. model.safetensors +1 -1
README.md CHANGED
@@ -1,15 +1,59 @@
1
  ---
2
  license: mit
3
- datasets:
4
- - wikitext
5
- pipeline_tag: text-generation
6
- co2_eq_emissions:
7
- emissions: 500
8
- training_type: "fine-tuning"
9
- source: "mlco2"
10
- geographical_location: "Bucharest, Romania"
11
- hardware_used: "1 x RTX 4090 GPU"
12
  ---
13
- # 🧠 GPT2-124M-wikitext-v0.1
14
 
15
- This is a practical hands-on experience for better understanding 🤗 Transformers and 🤗 Datasets. This model is GPT2(124M) fine-tuned on wikitext(103-raw-v1) on 1 x RTX 4090.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: mit
3
+ base_model: gpt2
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: GPT2-124M-wikitext-v0.1
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
+ # GPT2-124M-wikitext-v0.1
15
+
16
+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 2.9841
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: 8
39
+ - eval_batch_size: 8
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
+ | 3.1335 | 1.0 | 57467 | 3.0363 |
50
+ | 3.0643 | 2.0 | 114934 | 2.9968 |
51
+ | 3.0384 | 3.0 | 172401 | 2.9841 |
52
+
53
+
54
+ ### Framework versions
55
+
56
+ - Transformers 4.35.2
57
+ - Pytorch 2.1.0+cu118
58
+ - Datasets 2.15.0
59
+ - Tokenizers 0.15.0
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": "4.35.2"
6
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:504c41a0313304c20e7ffeb87a9dcf0f89e077b39428e8512a62ed3ecdd981b9
3
  size 497774208
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3223e233841eb8e24bb78662e1e1fea4e8db10dbd1da8b78ca78c32647f6605b
3
  size 497774208