KimByeongSu commited on
Commit
a136acf
1 Parent(s): 6a9db2c

gpt-neo-125m-cs-finetuning

Browse files
README.md ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: EleutherAI/gpt-neo-125m
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: gpt-neo-125m-cs-finetuning
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
+ # gpt-neo-125m-cs-finetuning
15
+
16
+ This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on the None dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 3.1602
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: 3.0
44
+
45
+ ### Training results
46
+
47
+ | Training Loss | Epoch | Step | Validation Loss |
48
+ |:-------------:|:-----:|:----:|:---------------:|
49
+ | 3.2942 | 1.0 | 1331 | 3.2314 |
50
+ | 3.1075 | 2.0 | 2662 | 3.1742 |
51
+ | 3.0252 | 3.0 | 3993 | 3.1602 |
52
+
53
+
54
+ ### Framework versions
55
+
56
+ - Transformers 4.36.2
57
+ - Pytorch 1.13.1+cu117
58
+ - Datasets 2.14.6
59
+ - Tokenizers 0.15.0
emissions.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
2
+ 2024-05-17T18:20:24,codecarbon,09466c23-1e57-4d68-b749-4159abb77b33,1678.0580360889435,0.04611905389485476,2.748358692190684e-05,42.5,168.79500000000002,11.905189990997316,0.019808753192590338,0.0753239154828636,0.005546149906532101,0.10067881858198606,South Korea,KOR,seoul,,,Windows-10-10.0.19045-SP0,3.9.18,2.2.3,20,12th Gen Intel(R) Core(TM) i7-12700,1,1 x NVIDIA GeForce RTX 3060,126.9369,37.5551,31.747173309326172,machine,N,1.0
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": "4.36.2"
6
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e5758a6541915312f61d03c5c4850b281cff38aa33931b0ae3deed3ae65654c3
3
  size 500811336
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3da77246db6862454a93941c49ae2e72bb39b881c59f1fab8a993d484cee4832
3
  size 500811336
runs/May17_17-52-23_kbs/events.out.tfevents.1715935946.kbs.23004.2 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2ca3de664f0eb2590477e7c86530604746a4174699190acf96e9c90e9b4d6b37
3
- size 5691
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a0e54d41bc298f09073e1b8a32e281dbb989ec283ef1b7a7b7b716e131b6482
3
+ size 7058
runs/May17_17-52-23_kbs/events.out.tfevents.1715937664.kbs.23004.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b1e5985d5ad49f73322639af428303a87be34c988a7d9ebb1dc319f849461e7
3
+ size 311