Instructions to use ajtaltarabukin2022/704b9953-dc7e-4dac-8809-b2fbb1339964 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ajtaltarabukin2022/704b9953-dc7e-4dac-8809-b2fbb1339964 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-1.5-9B-Chat-16K") model = PeftModel.from_pretrained(base_model, "ajtaltarabukin2022/704b9953-dc7e-4dac-8809-b2fbb1339964") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 30, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 217931936
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dce0d09f03f3f156d6b66940c39f98bed51ef2184d82a0ae1be38cece13978bf
|
| 3 |
size 217931936
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 436251442
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0099eaa441e129ed7829e977ce4e8981eef84e2f953f4d6461f45d7305fae75
|
| 3 |
size 436251442
|
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 sha256:5393cc6a1817757f20fd81e8db25d70ba44d676dca37db29d40af3d861e60ffc
|
| 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 sha256:0ec942292267bb06cc495f28f765abdfdf101d23971c1de481c4ea2a744d43b7
|
| 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,
|
|
@@ -89,6 +89,50 @@
|
|
| 89 |
"eval_samples_per_second": 9.189,
|
| 90 |
"eval_steps_per_second": 4.606,
|
| 91 |
"step": 20
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 92 |
}
|
| 93 |
],
|
| 94 |
"logging_steps": 3,
|
|
@@ -108,7 +152,7 @@
|
|
| 108 |
"attributes": {}
|
| 109 |
}
|
| 110 |
},
|
| 111 |
-
"total_flos":
|
| 112 |
"train_batch_size": 2,
|
| 113 |
"trial_name": null,
|
| 114 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.032318879612173446,
|
| 5 |
"eval_steps": 5,
|
| 6 |
+
"global_step": 30,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 89 |
"eval_samples_per_second": 9.189,
|
| 90 |
"eval_steps_per_second": 4.606,
|
| 91 |
"step": 20
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 0.022623215728521412,
|
| 95 |
+
"grad_norm": 0.6983510851860046,
|
| 96 |
+
"learning_rate": 0.00014067366430758004,
|
| 97 |
+
"loss": 0.6017,
|
| 98 |
+
"step": 21
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.025855103689738757,
|
| 102 |
+
"grad_norm": 0.9189296960830688,
|
| 103 |
+
"learning_rate": 0.00011045284632676536,
|
| 104 |
+
"loss": 0.6411,
|
| 105 |
+
"step": 24
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.026932399676811204,
|
| 109 |
+
"eval_loss": 0.6164190173149109,
|
| 110 |
+
"eval_runtime": 42.5383,
|
| 111 |
+
"eval_samples_per_second": 9.192,
|
| 112 |
+
"eval_steps_per_second": 4.608,
|
| 113 |
+
"step": 25
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 0.0290869916509561,
|
| 117 |
+
"grad_norm": 0.5284349918365479,
|
| 118 |
+
"learning_rate": 7.920883091822408e-05,
|
| 119 |
+
"loss": 0.506,
|
| 120 |
+
"step": 27
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 0.032318879612173446,
|
| 124 |
+
"grad_norm": 0.6442975401878357,
|
| 125 |
+
"learning_rate": 5.000000000000002e-05,
|
| 126 |
+
"loss": 0.5145,
|
| 127 |
+
"step": 30
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 0.032318879612173446,
|
| 131 |
+
"eval_loss": 0.597037672996521,
|
| 132 |
+
"eval_runtime": 42.633,
|
| 133 |
+
"eval_samples_per_second": 9.171,
|
| 134 |
+
"eval_steps_per_second": 4.597,
|
| 135 |
+
"step": 30
|
| 136 |
}
|
| 137 |
],
|
| 138 |
"logging_steps": 3,
|
|
|
|
| 152 |
"attributes": {}
|
| 153 |
}
|
| 154 |
},
|
| 155 |
+
"total_flos": 1.377268622426112e+16,
|
| 156 |
"train_batch_size": 2,
|
| 157 |
"trial_name": null,
|
| 158 |
"trial_params": null
|