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 +990 -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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base_model: meta-llama/Meta-Llama-3.1-8B
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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: oh-dcft-v3.1-gemini-1.5-pro
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@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# oh-dcft-v3.1-gemini-1.5-pro
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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: 0.6309
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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-dcft-v3.1-gemini-1.5-pro
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# oh-dcft-v3.1-gemini-1.5-pro
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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-dcft-v3.1-gemini-1.5-pro dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6309
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all_results.json
ADDED
@@ -0,0 +1,12 @@
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+
{
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"epoch": 2.9957446808510637,
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+
"eval_loss": 0.6309003829956055,
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+
"eval_runtime": 299.4868,
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+
"eval_samples_per_second": 39.648,
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+
"eval_steps_per_second": 0.621,
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"total_flos": 2210839784325120.0,
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+
"train_loss": 0.6033726125052481,
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+
"train_runtime": 44159.109,
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+
"train_samples_per_second": 15.326,
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+
"train_steps_per_second": 0.03
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+
}
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eval_results.json
ADDED
@@ -0,0 +1,7 @@
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+
{
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"epoch": 2.9957446808510637,
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+
"eval_loss": 0.6309003829956055,
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+
"eval_runtime": 299.4868,
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+
"eval_samples_per_second": 39.648,
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+
"eval_steps_per_second": 0.621
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+
}
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train_results.json
ADDED
@@ -0,0 +1,8 @@
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{
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"epoch": 2.9957446808510637,
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+
"total_flos": 2210839784325120.0,
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+
"train_loss": 0.6033726125052481,
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+
"train_runtime": 44159.109,
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+
"train_samples_per_second": 15.326,
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+
"train_steps_per_second": 0.03
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+
}
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trainer_state.json
ADDED
@@ -0,0 +1,990 @@
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|
1 |
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{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.9957446808510637,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1320,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.02269503546099291,
|
13 |
+
"grad_norm": 2.4400690431145335,
|
14 |
+
"learning_rate": 5e-06,
|
15 |
+
"loss": 0.9537,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.04539007092198582,
|
20 |
+
"grad_norm": 1.0371553805334768,
|
21 |
+
"learning_rate": 5e-06,
|
22 |
+
"loss": 0.8304,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.06808510638297872,
|
27 |
+
"grad_norm": 0.8207371359291633,
|
28 |
+
"learning_rate": 5e-06,
|
29 |
+
"loss": 0.7801,
|
30 |
+
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training_eval_loss.png
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training_loss.png
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![]() |