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 +612 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
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@@ -4,6 +4,7 @@ license: llama2
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base_model: meta-llama/Llama-2-7b-hf
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tags:
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: llama2_oh_teknium_scaling_down_random_0.7
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@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# llama2_oh_teknium_scaling_down_random_0.7
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-
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on
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It achieves the following results on the evaluation set:
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- Loss: 0.5556
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base_model: meta-llama/Llama-2-7b-hf
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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: llama2_oh_teknium_scaling_down_random_0.7
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# llama2_oh_teknium_scaling_down_random_0.7
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+
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the mlfoundations-dev/oh_teknium_scaling_down_random_0.7 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5556
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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": 2.9914040114613183,
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+
"eval_loss": 0.5556380152702332,
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+
"eval_runtime": 266.6242,
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+
"eval_samples_per_second": 26.445,
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+
"eval_steps_per_second": 0.416,
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+
"total_flos": 1311344783523840.0,
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+
"train_loss": 0.56458546481979,
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+
"train_runtime": 43241.279,
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+
"train_samples_per_second": 9.294,
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+
"train_steps_per_second": 0.018
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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": 2.9914040114613183,
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+
"eval_loss": 0.5556380152702332,
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+
"eval_runtime": 266.6242,
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+
"eval_samples_per_second": 26.445,
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+
"eval_steps_per_second": 0.416
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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": 2.9914040114613183,
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+
"total_flos": 1311344783523840.0,
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+
"train_loss": 0.56458546481979,
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+
"train_runtime": 43241.279,
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+
"train_samples_per_second": 9.294,
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+
"train_steps_per_second": 0.018
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+
}
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trainer_state.json
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@@ -0,0 +1,612 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.9914040114613183,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 783,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.038204393505253106,
|
| 13 |
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"grad_norm": 0.4276723796700453,
|
| 14 |
+
"learning_rate": 5e-06,
|
| 15 |
+
"loss": 0.7667,
|
| 16 |
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"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.07640878701050621,
|
| 20 |
+
"grad_norm": 0.32348084518039205,
|
| 21 |
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"learning_rate": 5e-06,
|
| 22 |
+
"loss": 0.6918,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.11461318051575932,
|
| 27 |
+
"grad_norm": 0.249229325173226,
|
| 28 |
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"learning_rate": 5e-06,
|
| 29 |
+
"loss": 0.6746,
|
| 30 |
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"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.15281757402101243,
|
| 34 |
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"grad_norm": 0.2330974473839111,
|
| 35 |
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"learning_rate": 5e-06,
|
| 36 |
+
"loss": 0.6616,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
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{
|
| 40 |
+
"epoch": 0.19102196752626552,
|
| 41 |
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"grad_norm": 0.21939385628582367,
|
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training_eval_loss.png
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training_loss.png
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