pszemraj commited on
Commit
55287d5
·
verified ·
1 Parent(s): e19a030

Model save

Browse files
Files changed (3) hide show
  1. README.md +67 -0
  2. generation_config.json +7 -0
  3. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: pszemraj/jamba-H1024_L12-v0.12-fineweb-100k-xlong_16k
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: jamba-H1024_L12-v0.12-fineweb-100k-xlong_16k-knowledge-inoc-concat-v1-vN
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # jamba-H1024_L12-v0.12-fineweb-100k-xlong_16k-knowledge-inoc-concat-v1-vN
17
+
18
+ This model is a fine-tuned version of [pszemraj/jamba-H1024_L12-v0.12-fineweb-100k-xlong_16k](https://huggingface.co/pszemraj/jamba-H1024_L12-v0.12-fineweb-100k-xlong_16k) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 3.0366
21
+ - Accuracy: 0.4514
22
+ - Num Input Tokens Seen: 1677721600
23
+
24
+ ## Model description
25
+
26
+ More information needed
27
+
28
+ ## Intended uses & limitations
29
+
30
+ More information needed
31
+
32
+ ## Training and evaluation data
33
+
34
+ More information needed
35
+
36
+ ## Training procedure
37
+
38
+ ### Training hyperparameters
39
+
40
+ The following hyperparameters were used during training:
41
+ - learning_rate: 5e-05
42
+ - train_batch_size: 4
43
+ - eval_batch_size: 4
44
+ - seed: 80085
45
+ - gradient_accumulation_steps: 32
46
+ - total_train_batch_size: 128
47
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
+ - lr_scheduler_type: cosine
49
+ - lr_scheduler_warmup_ratio: 0.05
50
+ - num_epochs: 2.0
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Input Tokens Seen |
55
+ |:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:|
56
+ | 3.2013 | 0.4241 | 200 | 3.0653 | 0.4479 | 419430400 |
57
+ | 3.1976 | 0.8481 | 400 | 3.0434 | 0.4506 | 838860800 |
58
+ | 3.1485 | 1.2722 | 600 | 3.0375 | 0.4513 | 1258291200 |
59
+ | 3.1871 | 1.6963 | 800 | 3.0366 | 0.4514 | 1677721600 |
60
+
61
+
62
+ ### Framework versions
63
+
64
+ - Transformers 4.40.1
65
+ - Pytorch 2.2.0+cu121
66
+ - Datasets 2.19.0
67
+ - Tokenizers 0.19.1
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 0,
4
+ "eos_token_id": 0,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.40.1"
7
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6c721e87dc19d89d391b57ccf22c13c17ce6a3d1af8449dc27c90ec7bf5c5819
3
  size 1775951936
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30682922fe1b1eab2532eb340bc1842cccaeae05ce856cf0aab40ac5f146fa61
3
  size 1775951936