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 +1095 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: apache-2.0
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| 4 |
base_model: mistralai/Mistral-7B-v0.1
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| 5 |
tags:
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| 6 |
- llama-factory
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| 7 |
- generated_from_trainer
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| 8 |
model-index:
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| 9 |
- name: hp_ablations_mistral_scheduler_inverse_sqrt
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@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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| 15 |
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| 16 |
# hp_ablations_mistral_scheduler_inverse_sqrt
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| 17 |
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| 18 |
-
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on
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| 19 |
It achieves the following results on the evaluation set:
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| 20 |
- Loss: 0.0726
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| 21 |
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| 4 |
base_model: mistralai/Mistral-7B-v0.1
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| 5 |
tags:
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| 6 |
- llama-factory
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| 7 |
+
- full
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| 8 |
- generated_from_trainer
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| 9 |
model-index:
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| 10 |
- name: hp_ablations_mistral_scheduler_inverse_sqrt
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| 16 |
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| 17 |
# hp_ablations_mistral_scheduler_inverse_sqrt
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| 18 |
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| 19 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset.
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| 20 |
It achieves the following results on the evaluation set:
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| 21 |
- Loss: 0.0726
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| 22 |
|
all_results.json
ADDED
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@@ -0,0 +1,12 @@
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+
{
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+
"epoch": 2.9954430379746837,
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| 3 |
+
"eval_loss": 0.07256945222616196,
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| 4 |
+
"eval_runtime": 513.5115,
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| 5 |
+
"eval_samples_per_second": 25.908,
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| 6 |
+
"eval_steps_per_second": 0.405,
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| 7 |
+
"total_flos": 2477170706350080.0,
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| 8 |
+
"train_loss": 0.4816304181700546,
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| 9 |
+
"train_runtime": 84877.5943,
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| 10 |
+
"train_samples_per_second": 8.934,
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| 11 |
+
"train_steps_per_second": 0.017
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| 12 |
+
}
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eval_results.json
ADDED
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@@ -0,0 +1,7 @@
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+
{
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+
"epoch": 2.9954430379746837,
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| 3 |
+
"eval_loss": 0.07256945222616196,
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| 4 |
+
"eval_runtime": 513.5115,
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| 5 |
+
"eval_samples_per_second": 25.908,
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| 6 |
+
"eval_steps_per_second": 0.405
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| 7 |
+
}
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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": 2.9954430379746837,
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+
"total_flos": 2477170706350080.0,
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+
"train_loss": 0.4816304181700546,
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+
"train_runtime": 84877.5943,
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+
"train_samples_per_second": 8.934,
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+
"train_steps_per_second": 0.017
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+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,1095 @@
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training_loss.png
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