Paladiso commited on
Commit
103059f
·
verified ·
1 Parent(s): bf93ff5

End of training

Browse files
Files changed (1) hide show
  1. README.md +17 -18
README.md CHANGED
@@ -1,14 +1,13 @@
1
  ---
2
  library_name: peft
3
- license: apache-2.0
4
- base_model: openlm-research/open_llama_3b
5
  tags:
6
  - axolotl
7
  - generated_from_trainer
8
  datasets:
9
- - Paladiso/dataset_b98c9df0-5280-40e9-9125-37aafc6279e9
10
  model-index:
11
- - name: 369db93c-b0b2-4862-895e-e55b2f44da91
12
  results: []
13
  ---
14
 
@@ -21,18 +20,18 @@ should probably proofread and complete it, then remove this comment. -->
21
  axolotl version: `0.6.0`
22
  ```yaml
23
  adapter: lora
24
- base_model: openlm-research/open_llama_3b
25
  bf16: auto
26
  chat_template: llama3
27
  dataset_prepared_path: /workspace/axolotl/data/prepared
28
  datasets:
29
  - ds_type: json
30
  format: custom
31
- path: Paladiso/dataset_b98c9df0-5280-40e9-9125-37aafc6279e9
32
  type:
33
- field_input: sentence1
34
- field_instruction: genre
35
- field_output: sentence2
36
  system_format: '{system}'
37
  system_prompt: ''
38
  debug: null
@@ -48,7 +47,7 @@ fsdp_config: null
48
  gradient_accumulation_steps: 4
49
  gradient_checkpointing: false
50
  group_by_length: false
51
- hub_model_id: Paladiso/369db93c-b0b2-4862-895e-e55b2f44da91
52
  hub_private_repo: true
53
  hub_repo: null
54
  hub_strategy: checkpoint
@@ -90,10 +89,10 @@ use_accelerate: true
90
  val_set_size: 0.05
91
  wandb_entity: null
92
  wandb_mode: online
93
- wandb_name: b98c9df0-5280-40e9-9125-37aafc6279e9
94
  wandb_project: Gradients-On-Demand
95
  wandb_run: your_name
96
- wandb_runid: b98c9df0-5280-40e9-9125-37aafc6279e9
97
  warmup_steps: 10
98
  weight_decay: 0.0
99
  xformers_attention: null
@@ -102,11 +101,11 @@ xformers_attention: null
102
 
103
  </details><br>
104
 
105
- # 369db93c-b0b2-4862-895e-e55b2f44da91
106
 
107
- This model is a fine-tuned version of [openlm-research/open_llama_3b](https://huggingface.co/openlm-research/open_llama_3b) on the Paladiso/dataset_b98c9df0-5280-40e9-9125-37aafc6279e9 dataset.
108
  It achieves the following results on the evaluation set:
109
- - Loss: 0.9400
110
 
111
  ## Model description
112
 
@@ -140,9 +139,9 @@ The following hyperparameters were used during training:
140
 
141
  | Training Loss | Epoch | Step | Validation Loss |
142
  |:-------------:|:------:|:----:|:---------------:|
143
- | 0.9502 | 0.0030 | 3 | 1.0558 |
144
- | 1.1032 | 0.0060 | 6 | 1.0392 |
145
- | 0.9992 | 0.0090 | 9 | 0.9400 |
146
 
147
 
148
  ### Framework versions
 
1
  ---
2
  library_name: peft
3
+ base_model: Korabbit/llama-2-ko-7b
 
4
  tags:
5
  - axolotl
6
  - generated_from_trainer
7
  datasets:
8
+ - Paladiso/dataset_6f876187-6d0a-4410-b9c7-16623cec1fad
9
  model-index:
10
+ - name: 30353663-cac7-44d6-a6f6-fbfa5b116bba
11
  results: []
12
  ---
13
 
 
20
  axolotl version: `0.6.0`
21
  ```yaml
22
  adapter: lora
23
+ base_model: Korabbit/llama-2-ko-7b
24
  bf16: auto
25
  chat_template: llama3
26
  dataset_prepared_path: /workspace/axolotl/data/prepared
27
  datasets:
28
  - ds_type: json
29
  format: custom
30
+ path: Paladiso/dataset_6f876187-6d0a-4410-b9c7-16623cec1fad
31
  type:
32
+ field_input: Description
33
+ field_instruction: Prompt
34
+ field_output: GT
35
  system_format: '{system}'
36
  system_prompt: ''
37
  debug: null
 
47
  gradient_accumulation_steps: 4
48
  gradient_checkpointing: false
49
  group_by_length: false
50
+ hub_model_id: Paladiso/30353663-cac7-44d6-a6f6-fbfa5b116bba
51
  hub_private_repo: true
52
  hub_repo: null
53
  hub_strategy: checkpoint
 
89
  val_set_size: 0.05
90
  wandb_entity: null
91
  wandb_mode: online
92
+ wandb_name: 6f876187-6d0a-4410-b9c7-16623cec1fad
93
  wandb_project: Gradients-On-Demand
94
  wandb_run: your_name
95
+ wandb_runid: 6f876187-6d0a-4410-b9c7-16623cec1fad
96
  warmup_steps: 10
97
  weight_decay: 0.0
98
  xformers_attention: null
 
101
 
102
  </details><br>
103
 
104
+ # 30353663-cac7-44d6-a6f6-fbfa5b116bba
105
 
106
+ This model is a fine-tuned version of [Korabbit/llama-2-ko-7b](https://huggingface.co/Korabbit/llama-2-ko-7b) on the Paladiso/dataset_6f876187-6d0a-4410-b9c7-16623cec1fad dataset.
107
  It achieves the following results on the evaluation set:
108
+ - Loss: 0.7657
109
 
110
  ## Model description
111
 
 
139
 
140
  | Training Loss | Epoch | Step | Validation Loss |
141
  |:-------------:|:------:|:----:|:---------------:|
142
+ | 6.9731 | 0.0110 | 3 | 6.6195 |
143
+ | 4.871 | 0.0220 | 6 | 3.0740 |
144
+ | 1.0696 | 0.0329 | 9 | 0.7657 |
145
 
146
 
147
  ### Framework versions