Instructions to use tuanna08go/87e605dc-7855-4690-84e6-8164f5e9f81e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/87e605dc-7855-4690-84e6-8164f5e9f81e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "tuanna08go/87e605dc-7855-4690-84e6-8164f5e9f81e") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50, 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 25271744
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7008ff38ae46be7c3a5e62fe27ae4709fb6866384ed10bbf219f94cd12cad737
|
| 3 |
size 25271744
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 13685516
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:38ce80a2152eb639310dffd7b92e4a75c37124ef352c410a6114d1004a63f222
|
| 3 |
size 13685516
|
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:fed120440b6875f99cd3aa80cc375b968f1df799f3d3c11c1bef77e318695614
|
| 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:b1df0528620c07325b8faa7567e59b0c1e86a1f1ee6af1245a69c6c0463fe4e2
|
| 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": 10,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -60,6 +60,36 @@
|
|
| 60 |
"eval_samples_per_second": 41.085,
|
| 61 |
"eval_steps_per_second": 5.138,
|
| 62 |
"step": 30
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 63 |
}
|
| 64 |
],
|
| 65 |
"logging_steps": 10,
|
|
@@ -74,12 +104,12 @@
|
|
| 74 |
"should_evaluate": false,
|
| 75 |
"should_log": false,
|
| 76 |
"should_save": true,
|
| 77 |
-
"should_training_stop":
|
| 78 |
},
|
| 79 |
"attributes": {}
|
| 80 |
}
|
| 81 |
},
|
| 82 |
-
"total_flos": 3.
|
| 83 |
"train_batch_size": 8,
|
| 84 |
"trial_name": null,
|
| 85 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.13855213023900242,
|
| 5 |
"eval_steps": 10,
|
| 6 |
+
"global_step": 50,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 60 |
"eval_samples_per_second": 41.085,
|
| 61 |
"eval_steps_per_second": 5.138,
|
| 62 |
"step": 30
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.11084170419120194,
|
| 66 |
+
"grad_norm": 0.7959256768226624,
|
| 67 |
+
"learning_rate": 1.0332332985438248e-05,
|
| 68 |
+
"loss": 2.3263,
|
| 69 |
+
"step": 40
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.11084170419120194,
|
| 73 |
+
"eval_loss": 2.277695655822754,
|
| 74 |
+
"eval_runtime": 59.3343,
|
| 75 |
+
"eval_samples_per_second": 40.971,
|
| 76 |
+
"eval_steps_per_second": 5.124,
|
| 77 |
+
"step": 40
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.13855213023900242,
|
| 81 |
+
"grad_norm": 0.8115575909614563,
|
| 82 |
+
"learning_rate": 0.0,
|
| 83 |
+
"loss": 2.2721,
|
| 84 |
+
"step": 50
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 0.13855213023900242,
|
| 88 |
+
"eval_loss": 2.2608070373535156,
|
| 89 |
+
"eval_runtime": 58.9517,
|
| 90 |
+
"eval_samples_per_second": 41.237,
|
| 91 |
+
"eval_steps_per_second": 5.157,
|
| 92 |
+
"step": 50
|
| 93 |
}
|
| 94 |
],
|
| 95 |
"logging_steps": 10,
|
|
|
|
| 104 |
"should_evaluate": false,
|
| 105 |
"should_log": false,
|
| 106 |
"should_save": true,
|
| 107 |
+
"should_training_stop": true
|
| 108 |
},
|
| 109 |
"attributes": {}
|
| 110 |
}
|
| 111 |
},
|
| 112 |
+
"total_flos": 3.880364310056141e+16,
|
| 113 |
"train_batch_size": 8,
|
| 114 |
"trial_name": null,
|
| 115 |
"trial_params": null
|