Training completed
Browse files- README.md +3 -3
- all_results.json +6 -6
- train_results.json +6 -6
- trainer_state.json +700 -21
README.md
CHANGED
|
@@ -5,14 +5,14 @@ tags:
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|
| 5 |
- generated_from_trainer
|
| 6 |
library_name: peft
|
| 7 |
model-index:
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| 8 |
-
- name:
|
| 9 |
results: []
|
| 10 |
---
|
| 11 |
|
| 12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
|
| 15 |
-
#
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on an unknown dataset.
|
| 18 |
|
|
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
|
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| 45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 46 |
- lr_scheduler_type: linear
|
| 47 |
- lr_scheduler_warmup_ratio: 0.03
|
| 48 |
-
- training_steps:
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| 49 |
|
| 50 |
### Training results
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| 51 |
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|
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|
| 5 |
- generated_from_trainer
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| 6 |
library_name: peft
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| 7 |
model-index:
|
| 8 |
+
- name: model_working
|
| 9 |
results: []
|
| 10 |
---
|
| 11 |
|
| 12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
|
| 15 |
+
# model_working
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on an unknown dataset.
|
| 18 |
|
|
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|
| 45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
- lr_scheduler_type: linear
|
| 47 |
- lr_scheduler_warmup_ratio: 0.03
|
| 48 |
+
- training_steps: 1000
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| 49 |
|
| 50 |
### Training results
|
| 51 |
|
all_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
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| 1 |
{
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| 2 |
-
"epoch":
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-
"total_flos":
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| 4 |
-
"train_loss":
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| 5 |
-
"train_runtime":
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| 6 |
-
"train_samples_per_second": 10.
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| 7 |
-
"train_steps_per_second": 0.
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| 8 |
}
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| 1 |
{
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| 2 |
+
"epoch": 1.82648401826484,
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| 3 |
+
"total_flos": 5.565784553370419e+18,
|
| 4 |
+
"train_loss": 0.04975467654503882,
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| 5 |
+
"train_runtime": 15752.6954,
|
| 6 |
+
"train_samples_per_second": 10.157,
|
| 7 |
+
"train_steps_per_second": 0.063
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| 8 |
}
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
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| 1 |
{
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| 2 |
-
"epoch":
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| 3 |
-
"total_flos":
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| 4 |
-
"train_loss":
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| 5 |
-
"train_runtime":
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| 6 |
-
"train_samples_per_second": 10.
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| 7 |
-
"train_steps_per_second": 0.
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| 8 |
}
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| 1 |
{
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| 2 |
+
"epoch": 1.82648401826484,
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| 3 |
+
"total_flos": 5.565784553370419e+18,
|
| 4 |
+
"train_loss": 0.04975467654503882,
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| 5 |
+
"train_runtime": 15752.6954,
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| 6 |
+
"train_samples_per_second": 10.157,
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| 7 |
+
"train_steps_per_second": 0.063
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| 8 |
}
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trainer_state.json
CHANGED
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@@ -1,49 +1,728 @@
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| 1 |
{
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"best_metric": null,
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"best_model_checkpoint": null,
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-
"epoch":
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"eval_steps": 0,
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-
"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.0182648401826484,
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-
"grad_norm":
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-
"learning_rate":
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-
"loss":
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"step": 10
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},
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{
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"epoch": 0.0365296803652968,
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-
"grad_norm": 0.
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-
"learning_rate":
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-
"loss": 0.
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"step": 20
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},
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{
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"epoch": 0.0547945205479452,
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-
"grad_norm": 0.
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"learning_rate": 0.0001,
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-
"loss": 0.
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"step": 30
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},
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{
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-
"epoch": 0.
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-
"
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