bbytxt commited on
Commit
e52ab24
1 Parent(s): 64e8616

End of training

Browse files
Files changed (3) hide show
  1. README.md +157 -0
  2. adapter_model.bin +3 -0
  3. adapter_model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,157 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ license: apache-2.0
4
+ base_model: echarlaix/tiny-random-PhiForCausalLM
5
+ tags:
6
+ - axolotl
7
+ - generated_from_trainer
8
+ model-index:
9
+ - name: 4a817778-e466-493e-9f6d-397e3b459ac2
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
+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
17
+ <details><summary>See axolotl config</summary>
18
+
19
+ axolotl version: `0.4.1`
20
+ ```yaml
21
+ adapter: lora
22
+ base_model: echarlaix/tiny-random-PhiForCausalLM
23
+ bf16: true
24
+ chat_template: llama3
25
+ dataset_prepared_path: null
26
+ datasets:
27
+ - data_files:
28
+ - 781a96faaaadde8f_train_data.json
29
+ ds_type: json
30
+ format: custom
31
+ path: /workspace/input_data/781a96faaaadde8f_train_data.json
32
+ type:
33
+ field_input: question
34
+ field_instruction: problem
35
+ field_output: solution
36
+ format: '{instruction} {input}'
37
+ no_input_format: '{instruction}'
38
+ system_format: '{system}'
39
+ system_prompt: ''
40
+ debug: null
41
+ deepspeed: null
42
+ device_map: auto
43
+ early_stopping_patience: 5
44
+ eval_max_new_tokens: 128
45
+ eval_steps: 50
46
+ eval_table_size: null
47
+ evals_per_epoch: null
48
+ flash_attention: false
49
+ fp16: false
50
+ fsdp: null
51
+ fsdp_config: null
52
+ gradient_accumulation_steps: 16
53
+ gradient_checkpointing: true
54
+ group_by_length: false
55
+ hub_model_id: bbytxt/4a817778-e466-493e-9f6d-397e3b459ac2
56
+ hub_repo: null
57
+ hub_strategy: checkpoint
58
+ hub_token: null
59
+ learning_rate: 0.0001
60
+ load_in_4bit: false
61
+ load_in_8bit: false
62
+ local_rank: null
63
+ logging_steps: 1
64
+ lora_alpha: 128
65
+ lora_dropout: 0.05
66
+ lora_fan_in_fan_out: null
67
+ lora_model_dir: null
68
+ lora_r: 64
69
+ lora_target_linear: true
70
+ lr_scheduler: cosine
71
+ max_memory:
72
+ 0: 70GB
73
+ max_steps: 75
74
+ micro_batch_size: 4
75
+ mlflow_experiment_name: /tmp/781a96faaaadde8f_train_data.json
76
+ model_type: AutoModelForCausalLM
77
+ num_epochs: 3
78
+ optimizer: adamw_bnb_8bit
79
+ output_dir: miner_id_24
80
+ pad_to_sequence_len: true
81
+ resume_from_checkpoint: null
82
+ s2_attention: null
83
+ sample_packing: false
84
+ save_steps: 50
85
+ saves_per_epoch: null
86
+ sequence_len: 2048
87
+ special_tokens:
88
+ pad_token: <|endoftext|>
89
+ strict: false
90
+ tf32: false
91
+ tokenizer_type: AutoTokenizer
92
+ train_on_inputs: false
93
+ trust_remote_code: true
94
+ val_set_size: 0.05
95
+ wandb_entity: null
96
+ wandb_mode: online
97
+ wandb_name: 4a817778-e466-493e-9f6d-397e3b459ac2
98
+ wandb_project: Gradients-On-Demand
99
+ wandb_run: your_name
100
+ wandb_runid: 4a817778-e466-493e-9f6d-397e3b459ac2
101
+ warmup_steps: 20
102
+ weight_decay: 0.0
103
+ xformers_attention: null
104
+
105
+ ```
106
+
107
+ </details><br>
108
+
109
+ # 4a817778-e466-493e-9f6d-397e3b459ac2
110
+
111
+ This model is a fine-tuned version of [echarlaix/tiny-random-PhiForCausalLM](https://huggingface.co/echarlaix/tiny-random-PhiForCausalLM) on the None dataset.
112
+ It achieves the following results on the evaluation set:
113
+ - Loss: 6.8335
114
+
115
+ ## Model description
116
+
117
+ More information needed
118
+
119
+ ## Intended uses & limitations
120
+
121
+ More information needed
122
+
123
+ ## Training and evaluation data
124
+
125
+ More information needed
126
+
127
+ ## Training procedure
128
+
129
+ ### Training hyperparameters
130
+
131
+ The following hyperparameters were used during training:
132
+ - learning_rate: 0.0001
133
+ - train_batch_size: 4
134
+ - eval_batch_size: 4
135
+ - seed: 42
136
+ - gradient_accumulation_steps: 16
137
+ - total_train_batch_size: 64
138
+ - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
139
+ - lr_scheduler_type: cosine
140
+ - lr_scheduler_warmup_steps: 20
141
+ - training_steps: 75
142
+
143
+ ### Training results
144
+
145
+ | Training Loss | Epoch | Step | Validation Loss |
146
+ |:-------------:|:------:|:----:|:---------------:|
147
+ | 6.9349 | 0.0024 | 1 | 6.9350 |
148
+ | 6.8367 | 0.1183 | 50 | 6.8335 |
149
+
150
+
151
+ ### Framework versions
152
+
153
+ - PEFT 0.13.2
154
+ - Transformers 4.46.0
155
+ - Pytorch 2.5.0+cu124
156
+ - Datasets 3.0.1
157
+ - Tokenizers 0.20.1
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fd64fd86781273744b0fa9b96d71d4d70fd5c57c48e8cdcd3eb24d4d82f6e558
3
+ size 344703
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b6a57cfb26d94713f1271c173c1d103208fea6048d229594e679c614f345484c
3
  size 338298
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f45d5f483bd316cb53ec5927dc41eec1c071f2ae13894887acb76c41c211bc20
3
  size 338298