Hugging Face's logo

tuanna08go
/
dd090fdb-142b-41d9-b546-5698d55ccd88

PEFT
Safetensors
llama
axolotl
Generated from Trainer
Model card Files
xet
 Community
tuanna08go commited on
Commit
6864f1c
·
verified ·
1 Parent(s): a487449

End of training

Browse files
Files changed (2) hide show
  1. README.md +11 -4
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -66,7 +66,7 @@ lora_target_linear: true
66
  lr_scheduler: cosine
67
  max_memory:
68
  0: 45GB
69
- max_steps: 1
70
  micro_batch_size: 2
71
  mlflow_experiment_name: /tmp/da92ec7138cf7572_train_data.json
72
  model_type: AutoModelForCausalLM
@@ -93,7 +93,7 @@ wandb_name: 67e38e0f-12cd-4211-887d-8de51deebf53
93
  wandb_project: Gradients-On-Demand
94
  wandb_run: unknown
95
  wandb_runid: 67e38e0f-12cd-4211-887d-8de51deebf53
96
- warmup_steps: 1
97
  weight_decay: 0.0
98
  xformers_attention: null
99
 
@@ -104,6 +104,8 @@ xformers_attention: null
104
  # dd090fdb-142b-41d9-b546-5698d55ccd88
105
 
106
  This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) on the None dataset.
 
 
107
 
108
  ## Model description
109
 
@@ -130,14 +132,19 @@ The following hyperparameters were used during training:
130
  - total_train_batch_size: 8
131
  - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
132
  - lr_scheduler_type: cosine
133
- - lr_scheduler_warmup_steps: 2
134
- - training_steps: 1
135
 
136
  ### Training results
137
 
138
  | Training Loss | Epoch | Step | Validation Loss |
139
  |:-------------:|:------:|:----:|:---------------:|
140
  | No log | 0.0001 | 1 | 1.6366 |
 
 
 
 
 
141
 
142
 
143
  ### Framework versions
 
66
  lr_scheduler: cosine
67
  max_memory:
68
  0: 45GB
69
+ max_steps: 50
70
  micro_batch_size: 2
71
  mlflow_experiment_name: /tmp/da92ec7138cf7572_train_data.json
72
  model_type: AutoModelForCausalLM
 
93
  wandb_project: Gradients-On-Demand
94
  wandb_run: unknown
95
  wandb_runid: 67e38e0f-12cd-4211-887d-8de51deebf53
96
+ warmup_steps: 10
97
  weight_decay: 0.0
98
  xformers_attention: null
99
 
 
104
  # dd090fdb-142b-41d9-b546-5698d55ccd88
105
 
106
  This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) on the None dataset.
107
+ It achieves the following results on the evaluation set:
108
+ - Loss: 1.5169
109
 
110
  ## Model description
111
 
 
132
  - total_train_batch_size: 8
133
  - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
134
  - lr_scheduler_type: cosine
135
+ - lr_scheduler_warmup_steps: 10
136
+ - training_steps: 50
137
 
138
  ### Training results
139
 
140
  | Training Loss | Epoch | Step | Validation Loss |
141
  |:-------------:|:------:|:----:|:---------------:|
142
  | No log | 0.0001 | 1 | 1.6366 |
143
+ | 1.6993 | 0.0009 | 10 | 1.5764 |
144
+ | 1.511 | 0.0018 | 20 | 1.5409 |
145
+ | 1.4383 | 0.0027 | 30 | 1.5248 |
146
+ | 1.5397 | 0.0036 | 40 | 1.5178 |
147
+ | 1.5898 | 0.0044 | 50 | 1.5169 |
148
 
149
 
150
  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b3e9143f25acbb492a97fac90757c8853d30935c09bb09e42ab0c4d6e78354a0
3
  size 84047370
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20072a84787d708b567db6bbb99d7b33a6824de37b30ab13cfb4a7c4b6e9e1d0
3
  size 84047370