sedrickkeh commited on
Commit
a422277
·
verified ·
1 Parent(s): 6e5d471

Model save

Browse files
Files changed (3) hide show
  1. README.md +15 -10
  2. generation_config.json +6 -3
  3. training_args.bin +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
1
  ---
2
  library_name: transformers
3
- license: apache-2.0
4
- base_model: mistralai/Mistral-7B-v0.1
5
  tags:
6
  - llama-factory
7
  - generated_from_trainer
@@ -15,7 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # model
17
 
18
- This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
 
 
19
 
20
  ## Model description
21
 
@@ -34,25 +36,28 @@ More information needed
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
- - learning_rate: 2e-05
38
- - train_batch_size: 16
39
- - eval_batch_size: 8
40
  - seed: 42
41
  - distributed_type: multi-GPU
42
- - num_devices: 8
43
  - gradient_accumulation_steps: 4
44
  - total_train_batch_size: 512
45
  - total_eval_batch_size: 64
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
- - lr_scheduler_type: cosine
48
  - lr_scheduler_warmup_ratio: 0.1
49
- - training_steps: 3
 
50
 
51
  ### Training results
52
 
53
  | Training Loss | Epoch | Step | Validation Loss |
54
  |:-------------:|:------:|:----:|:---------------:|
55
- | No log | 0.1304 | 3 | 1.6953 |
 
 
56
 
57
 
58
  ### Framework versions
 
1
  ---
2
  library_name: transformers
3
+ license: llama3
4
+ base_model: meta-llama/Meta-Llama-3-8B
5
  tags:
6
  - llama-factory
7
  - generated_from_trainer
 
15
 
16
  # model
17
 
18
+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: nan
21
 
22
  ## Model description
23
 
 
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
+ - learning_rate: 5e-06
40
+ - train_batch_size: 8
41
+ - eval_batch_size: 4
42
  - seed: 42
43
  - distributed_type: multi-GPU
44
+ - num_devices: 16
45
  - gradient_accumulation_steps: 4
46
  - total_train_batch_size: 512
47
  - total_eval_batch_size: 64
48
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
+ - lr_scheduler_type: constant
50
  - lr_scheduler_warmup_ratio: 0.1
51
+ - lr_scheduler_warmup_steps: 1738
52
+ - num_epochs: 3.0
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss |
57
  |:-------------:|:------:|:----:|:---------------:|
58
+ | No log | 0.8 | 3 | nan |
59
+ | No log | 1.8667 | 7 | nan |
60
+ | No log | 2.4 | 9 | nan |
61
 
62
 
63
  ### Framework versions
generation_config.json CHANGED
@@ -1,6 +1,9 @@
1
  {
2
- "_from_model_config": true,
3
- "bos_token_id": 1,
4
- "eos_token_id": 2,
 
 
 
5
  "transformers_version": "4.45.2"
6
  }
 
1
  {
2
+ "bos_token_id": 128000,
3
+ "do_sample": true,
4
+ "eos_token_id": 128001,
5
+ "max_length": 4096,
6
+ "temperature": 0.6,
7
+ "top_p": 0.9,
8
  "transformers_version": "4.45.2"
9
  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3951b610e5b351d88dd67a77b64fe7d26cd9027a8713c30c226457cf6b1fce05
3
  size 6776
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3520d4ef068dc462553a3e46e583ad87e1c415b95c4f13b613b6c639918d2c8
3
  size 6776