Instructions to use VERSIL91/137c3a6c-74ff-4b84-9aca-3feaa811b44e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/137c3a6c-74ff-4b84-9aca-3feaa811b44e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.3") model = PeftModel.from_pretrained(base_model, "VERSIL91/137c3a6c-74ff-4b84-9aca-3feaa811b44e") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 15, checkpoint
Browse files
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 43122580
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0e1d2235069b03cb7df5be256b2cc7cc3cd8f0582a419b804b290b0b34abde74
|
| 3 |
size 43122580
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff5440c0314dadc3defe4b4803f353543d71edfcba882e67961bec9458fb6240
|
| 3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff2736979009751c0c6b0ddcc5f6544d6f723aa752b4798eab0b70fb76cf0083
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 5,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -101,6 +101,49 @@
|
|
| 101 |
"eval_samples_per_second": 15.14,
|
| 102 |
"eval_steps_per_second": 7.65,
|
| 103 |
"step": 10
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 104 |
}
|
| 105 |
],
|
| 106 |
"logging_steps": 1,
|
|
@@ -120,7 +163,7 @@
|
|
| 120 |
"attributes": {}
|
| 121 |
}
|
| 122 |
},
|
| 123 |
-
"total_flos": 1.
|
| 124 |
"train_batch_size": 2,
|
| 125 |
"trial_name": null,
|
| 126 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.2681564245810056,
|
| 5 |
"eval_steps": 5,
|
| 6 |
+
"global_step": 15,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 101 |
"eval_samples_per_second": 15.14,
|
| 102 |
"eval_steps_per_second": 7.65,
|
| 103 |
"step": 10
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 0.19664804469273742,
|
| 107 |
+
"grad_norm": NaN,
|
| 108 |
+
"learning_rate": 9.755282581475769e-05,
|
| 109 |
+
"loss": 0.0,
|
| 110 |
+
"step": 11
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.21452513966480447,
|
| 114 |
+
"grad_norm": NaN,
|
| 115 |
+
"learning_rate": 9.045084971874738e-05,
|
| 116 |
+
"loss": 0.0,
|
| 117 |
+
"step": 12
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.2324022346368715,
|
| 121 |
+
"grad_norm": NaN,
|
| 122 |
+
"learning_rate": 7.938926261462366e-05,
|
| 123 |
+
"loss": 286.0811,
|
| 124 |
+
"step": 13
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 0.25027932960893856,
|
| 128 |
+
"grad_norm": NaN,
|
| 129 |
+
"learning_rate": 6.545084971874738e-05,
|
| 130 |
+
"loss": 18902.8984,
|
| 131 |
+
"step": 14
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 0.2681564245810056,
|
| 135 |
+
"grad_norm": NaN,
|
| 136 |
+
"learning_rate": 5e-05,
|
| 137 |
+
"loss": 0.0,
|
| 138 |
+
"step": 15
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 0.2681564245810056,
|
| 142 |
+
"eval_loss": NaN,
|
| 143 |
+
"eval_runtime": 8.1188,
|
| 144 |
+
"eval_samples_per_second": 11.701,
|
| 145 |
+
"eval_steps_per_second": 5.912,
|
| 146 |
+
"step": 15
|
| 147 |
}
|
| 148 |
],
|
| 149 |
"logging_steps": 1,
|
|
|
|
| 163 |
"attributes": {}
|
| 164 |
}
|
| 165 |
},
|
| 166 |
+
"total_flos": 1.884951096066048e+16,
|
| 167 |
"train_batch_size": 2,
|
| 168 |
"trial_name": null,
|
| 169 |
"trial_params": null
|