End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +605 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
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@@ -4,6 +4,7 @@ license: llama3.1
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| 4 |
base_model: meta-llama/Meta-Llama-3.1-8B
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| 5 |
tags:
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| 6 |
- llama-factory
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- generated_from_trainer
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model-index:
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- name: oh_teknium_scaling_down_random_0.8
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@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# oh_teknium_scaling_down_random_0.8
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-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on
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It achieves the following results on the evaluation set:
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- Loss: 0.6006
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| 21 |
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| 4 |
base_model: meta-llama/Meta-Llama-3.1-8B
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tags:
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- llama-factory
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+
- full
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- generated_from_trainer
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model-index:
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- name: oh_teknium_scaling_down_random_0.8
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# oh_teknium_scaling_down_random_0.8
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+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/oh_teknium_scaling_down_random_0.8 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6006
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all_results.json
ADDED
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@@ -0,0 +1,12 @@
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{
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"epoch": 3.0,
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+
"eval_loss": 0.6005940437316895,
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+
"eval_runtime": 275.223,
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| 5 |
+
"eval_samples_per_second": 25.158,
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+
"eval_steps_per_second": 0.396,
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+
"total_flos": 1291244336578560.0,
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+
"train_loss": 0.5620605509955287,
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+
"train_runtime": 45702.4745,
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+
"train_samples_per_second": 8.636,
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+
"train_steps_per_second": 0.017
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+
}
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eval_results.json
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@@ -0,0 +1,7 @@
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+
{
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"epoch": 3.0,
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+
"eval_loss": 0.6005940437316895,
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+
"eval_runtime": 275.223,
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| 5 |
+
"eval_samples_per_second": 25.158,
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+
"eval_steps_per_second": 0.396
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+
}
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 3.0,
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+
"total_flos": 1291244336578560.0,
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+
"train_loss": 0.5620605509955287,
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+
"train_runtime": 45702.4745,
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+
"train_samples_per_second": 8.636,
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+
"train_steps_per_second": 0.017
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+
}
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trainer_state.json
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@@ -0,0 +1,605 @@
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| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 771,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
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{
|
| 12 |
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"epoch": 0.038910505836575876,
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| 13 |
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"grad_norm": 1.1950826608910594,
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| 14 |
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"learning_rate": 5e-06,
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| 15 |
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"loss": 0.7894,
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"step": 10
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| 17 |
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},
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| 18 |
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{
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| 19 |
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"epoch": 0.07782101167315175,
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| 20 |
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"grad_norm": 0.8641628238228234,
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| 21 |
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"learning_rate": 5e-06,
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| 22 |
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"loss": 0.7077,
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| 23 |
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"step": 20
|
| 24 |
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},
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| 25 |
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{
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| 26 |
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"epoch": 0.11673151750972763,
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| 27 |
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"grad_norm": 1.0850249051640393,
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| 28 |
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"learning_rate": 5e-06,
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| 29 |
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"loss": 0.6773,
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| 30 |
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"step": 30
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| 31 |
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},
|
| 32 |
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{
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| 33 |
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"epoch": 0.1556420233463035,
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| 34 |
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"grad_norm": 2.1113594635780544,
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"learning_rate": 5e-06,
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| 36 |
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"loss": 0.6672,
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"step": 40
|
| 38 |
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},
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| 39 |
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{
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| 40 |
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"epoch": 0.19455252918287938,
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| 41 |
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"grad_norm": 2.7266567559510855,
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"learning_rate": 5e-06,
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| 43 |
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"loss": 0.655,
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"step": 50
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| 45 |
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},
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| 46 |
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{
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training_loss.png
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