mrm8488 commited on
Commit
77dc71e
1 Parent(s): c7d63a0

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +64 -0
README.md ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: bigcode-openrail-m
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: starcoder-ft-alpaca-es-v3
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
+ # starcoder-ft-alpaca-es-v3
14
+
15
+ This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on the None dataset.
16
+ It achieves the following results on the evaluation set:
17
+ - Loss: nan
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: 0.0003
37
+ - train_batch_size: 8
38
+ - eval_batch_size: 8
39
+ - seed: 42
40
+ - gradient_accumulation_steps: 8
41
+ - total_train_batch_size: 64
42
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
+ - lr_scheduler_type: linear
44
+ - num_epochs: 2
45
+
46
+ ### Training results
47
+
48
+ | Training Loss | Epoch | Step | Validation Loss |
49
+ |:-------------:|:-----:|:----:|:---------------:|
50
+ | 1.0117 | 0.27 | 200 | 0.9912 |
51
+ | 1.0515 | 0.55 | 400 | 1.0008 |
52
+ | 1.0981 | 0.82 | 600 | 1.0197 |
53
+ | 657.1807 | 1.1 | 800 | nan |
54
+ | 2927.9309 | 1.37 | 1000 | nan |
55
+ | 409.511 | 1.64 | 1200 | nan |
56
+ | 593.4789 | 1.92 | 1400 | nan |
57
+
58
+
59
+ ### Framework versions
60
+
61
+ - Transformers 4.30.0.dev0
62
+ - Pytorch 2.0.1+cu118
63
+ - Datasets 2.12.0
64
+ - Tokenizers 0.13.3