sjhpark commited on
Commit
b9dc89f
1 Parent(s): c3b228e

End of training

Browse files
Files changed (1) hide show
  1. README.md +77 -0
README.md ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ library_name: peft
4
+ tags:
5
+ - trl
6
+ - sft
7
+ - generated_from_trainer
8
+ base_model: databricks/dolly-v2-3b
9
+ model-index:
10
+ - name: dolly-v2-3b-finetuned-medmcqa
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # dolly-v2-3b-finetuned-medmcqa
18
+
19
+ This model is a fine-tuned version of [databricks/dolly-v2-3b](https://huggingface.co/databricks/dolly-v2-3b) on the None dataset.
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 0.0002
39
+ - train_batch_size: 1
40
+ - eval_batch_size: 8
41
+ - seed: 42
42
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
+ - lr_scheduler_type: cosine
44
+ - training_steps: 20
45
+ - mixed_precision_training: Native AMP
46
+
47
+ ### Training results
48
+
49
+
50
+
51
+ ### Framework versions
52
+
53
+ - Transformers 4.38.1
54
+ - Pytorch 2.2.0+cu121
55
+ - Datasets 2.18.0
56
+ - Tokenizers 0.15.1
57
+ ## Training procedure
58
+
59
+
60
+ The following `bitsandbytes` quantization config was used during training:
61
+ - quant_method: bitsandbytes
62
+ - _load_in_8bit: False
63
+ - _load_in_4bit: True
64
+ - llm_int8_threshold: 6.0
65
+ - llm_int8_skip_modules: None
66
+ - llm_int8_enable_fp32_cpu_offload: False
67
+ - llm_int8_has_fp16_weight: False
68
+ - bnb_4bit_quant_type: nf4
69
+ - bnb_4bit_use_double_quant: False
70
+ - bnb_4bit_compute_dtype: float16
71
+ - load_in_4bit: True
72
+ - load_in_8bit: False
73
+
74
+ ### Framework versions
75
+
76
+
77
+ - PEFT 0.6.2