End of training
Browse files- README.md +3 -2
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +1013 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: llama3.1
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| 4 |
base_model: meta-llama/Llama-3.1-8B-Instruct
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| 5 |
tags:
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- llama-factory
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- generated_from_trainer
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model-index:
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| 9 |
- name: Llama-3.1-8B-Instruct-PsyCourse-doc-fold2
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@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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| 15 |
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| 16 |
# Llama-3.1-8B-Instruct-PsyCourse-doc-fold2
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| 17 |
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| 18 |
-
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on
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| 19 |
It achieves the following results on the evaluation set:
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-
- Loss: 0.
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| 21 |
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| 22 |
## Model description
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| 23 |
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| 4 |
base_model: meta-llama/Llama-3.1-8B-Instruct
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| 5 |
tags:
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| 6 |
- llama-factory
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| 7 |
+
- lora
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| 8 |
- generated_from_trainer
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| 9 |
model-index:
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| 10 |
- name: Llama-3.1-8B-Instruct-PsyCourse-doc-fold2
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| 16 |
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| 17 |
# Llama-3.1-8B-Instruct-PsyCourse-doc-fold2
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| 18 |
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| 19 |
+
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the course-doc-train-fold2 dataset.
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| 20 |
It achieves the following results on the evaluation set:
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+
- Loss: 0.0616
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| 22 |
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| 23 |
## Model description
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| 24 |
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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": 4.938271604938271,
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| 3 |
+
"eval_loss": 0.06161228194832802,
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| 4 |
+
"eval_runtime": 23.9817,
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| 5 |
+
"eval_samples_per_second": 1.876,
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| 6 |
+
"eval_steps_per_second": 1.876,
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| 7 |
+
"total_flos": 1.5041978615365632e+17,
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| 8 |
+
"train_loss": 0.09440466659516096,
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+
"train_runtime": 4183.0356,
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+
"train_samples_per_second": 0.484,
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| 11 |
+
"train_steps_per_second": 0.03
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+
}
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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": 4.938271604938271,
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+
"eval_loss": 0.06161228194832802,
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| 4 |
+
"eval_runtime": 23.9817,
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+
"eval_samples_per_second": 1.876,
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+
"eval_steps_per_second": 1.876
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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": 4.938271604938271,
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+
"total_flos": 1.5041978615365632e+17,
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+
"train_loss": 0.09440466659516096,
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+
"train_runtime": 4183.0356,
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+
"train_samples_per_second": 0.484,
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+
"train_steps_per_second": 0.03
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+
}
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trainer_state.json
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@@ -0,0 +1,1013 @@
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| 991 |
+
],
|
| 992 |
+
"logging_steps": 1,
|
| 993 |
+
"max_steps": 125,
|
| 994 |
+
"num_input_tokens_seen": 0,
|
| 995 |
+
"num_train_epochs": 5,
|
| 996 |
+
"save_steps": 10,
|
| 997 |
+
"stateful_callbacks": {
|
| 998 |
+
"TrainerControl": {
|
| 999 |
+
"args": {
|
| 1000 |
+
"should_epoch_stop": false,
|
| 1001 |
+
"should_evaluate": false,
|
| 1002 |
+
"should_log": false,
|
| 1003 |
+
"should_save": true,
|
| 1004 |
+
"should_training_stop": true
|
| 1005 |
+
},
|
| 1006 |
+
"attributes": {}
|
| 1007 |
+
}
|
| 1008 |
+
},
|
| 1009 |
+
"total_flos": 1.5041978615365632e+17,
|
| 1010 |
+
"train_batch_size": 1,
|
| 1011 |
+
"trial_name": null,
|
| 1012 |
+
"trial_params": null
|
| 1013 |
+
}
|
training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|