Aivesa commited on
Commit
689bc52
·
verified ·
1 Parent(s): 3f94f9b

End of training

Browse files
Files changed (1) hide show
  1. README.md +18 -16
README.md CHANGED
@@ -1,14 +1,14 @@
1
  ---
2
  library_name: peft
3
  license: apache-2.0
4
- base_model: Qwen/Qwen2.5-0.5B
5
  tags:
6
  - axolotl
7
  - generated_from_trainer
8
  datasets:
9
- - Aivesa/dataset_e5909454-6ee7-43b0-bc21-d6fa723e34ec
10
  model-index:
11
- - name: 14faec3b-678a-4b3e-a3e7-95067cb131aa
12
  results: []
13
  ---
14
 
@@ -21,17 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
21
  axolotl version: `0.6.0`
22
  ```yaml
23
  adapter: lora
24
- base_model: Qwen/Qwen2.5-0.5B
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: Aivesa/dataset_e5909454-6ee7-43b0-bc21-d6fa723e34ec
32
  type:
33
- field_instruction: instruction
34
- field_output: response
35
  system_format: '{system}'
36
  system_prompt: ''
37
  debug: null
@@ -47,7 +47,7 @@ fsdp_config: null
47
  gradient_accumulation_steps: 4
48
  gradient_checkpointing: false
49
  group_by_length: false
50
- hub_model_id: Aivesa/14faec3b-678a-4b3e-a3e7-95067cb131aa
51
  hub_private_repo: true
52
  hub_repo: null
53
  hub_strategy: checkpoint
@@ -78,6 +78,8 @@ sample_packing: false
78
  save_safetensors: true
79
  saves_per_epoch: 4
80
  sequence_len: 512
 
 
81
  strict: false
82
  tf32: false
83
  tokenizer_type: AutoTokenizer
@@ -87,10 +89,10 @@ use_accelerate: true
87
  val_set_size: 0.05
88
  wandb_entity: null
89
  wandb_mode: online
90
- wandb_name: e5909454-6ee7-43b0-bc21-d6fa723e34ec
91
  wandb_project: Gradients-On-Demand
92
  wandb_run: your_name
93
- wandb_runid: e5909454-6ee7-43b0-bc21-d6fa723e34ec
94
  warmup_steps: 10
95
  weight_decay: 0.0
96
  xformers_attention: null
@@ -99,11 +101,11 @@ xformers_attention: null
99
 
100
  </details><br>
101
 
102
- # 14faec3b-678a-4b3e-a3e7-95067cb131aa
103
 
104
- This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on the Aivesa/dataset_e5909454-6ee7-43b0-bc21-d6fa723e34ec dataset.
105
  It achieves the following results on the evaluation set:
106
- - Loss: 1.5795
107
 
108
  ## Model description
109
 
@@ -137,9 +139,9 @@ The following hyperparameters were used during training:
137
 
138
  | Training Loss | Epoch | Step | Validation Loss |
139
  |:-------------:|:------:|:----:|:---------------:|
140
- | 1.6945 | 0.0036 | 3 | 1.6561 |
141
- | 1.2122 | 0.0071 | 6 | 1.6313 |
142
- | 1.7996 | 0.0107 | 9 | 1.5795 |
143
 
144
 
145
  ### Framework versions
 
1
  ---
2
  library_name: peft
3
  license: apache-2.0
4
+ base_model: EleutherAI/pythia-410m-deduped
5
  tags:
6
  - axolotl
7
  - generated_from_trainer
8
  datasets:
9
+ - Aivesa/dataset_6b68d715-277d-410f-8147-0e3954c97b2f
10
  model-index:
11
+ - name: c1093e50-e6e8-4bfe-8dc8-afe74f920cfd
12
  results: []
13
  ---
14
 
 
21
  axolotl version: `0.6.0`
22
  ```yaml
23
  adapter: lora
24
+ base_model: EleutherAI/pythia-410m-deduped
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: Aivesa/dataset_6b68d715-277d-410f-8147-0e3954c97b2f
32
  type:
33
+ field_instruction: en
34
+ field_output: id
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: Aivesa/c1093e50-e6e8-4bfe-8dc8-afe74f920cfd
51
  hub_private_repo: true
52
  hub_repo: null
53
  hub_strategy: checkpoint
 
78
  save_safetensors: true
79
  saves_per_epoch: 4
80
  sequence_len: 512
81
+ special_tokens:
82
+ pad_token: <|endoftext|>
83
  strict: false
84
  tf32: false
85
  tokenizer_type: AutoTokenizer
 
89
  val_set_size: 0.05
90
  wandb_entity: null
91
  wandb_mode: online
92
+ wandb_name: 6b68d715-277d-410f-8147-0e3954c97b2f
93
  wandb_project: Gradients-On-Demand
94
  wandb_run: your_name
95
+ wandb_runid: 6b68d715-277d-410f-8147-0e3954c97b2f
96
  warmup_steps: 10
97
  weight_decay: 0.0
98
  xformers_attention: null
 
101
 
102
  </details><br>
103
 
104
+ # c1093e50-e6e8-4bfe-8dc8-afe74f920cfd
105
 
106
+ This model is a fine-tuned version of [EleutherAI/pythia-410m-deduped](https://huggingface.co/EleutherAI/pythia-410m-deduped) on the Aivesa/dataset_6b68d715-277d-410f-8147-0e3954c97b2f dataset.
107
  It achieves the following results on the evaluation set:
108
+ - Loss: 4.0359
109
 
110
  ## Model description
111
 
 
139
 
140
  | Training Loss | Epoch | Step | Validation Loss |
141
  |:-------------:|:------:|:----:|:---------------:|
142
+ | 15.5299 | 0.0005 | 3 | 4.1709 |
143
+ | 18.699 | 0.0010 | 6 | 4.1389 |
144
+ | 17.5318 | 0.0015 | 9 | 4.0359 |
145
 
146
 
147
  ### Framework versions