MHGanainy/gpt2-xl-lora-multi-6
Browse files- README.md +2 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +665 -0
README.md
CHANGED
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@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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# gpt2-xl-lora-multi-6
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This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
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## Model description
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# gpt2-xl-lora-multi-6
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This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0126
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## Model description
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all_results.json
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{
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"epoch": 1.0,
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"eval_loss": 2.0126099586486816,
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"eval_runtime": 4087.7012,
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"eval_samples_per_second": 7.809,
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"eval_steps_per_second": 0.488,
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"perplexity": 7.482821738733412,
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"total_flos": 1.3078189256852111e+18,
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"train_loss": 2.2911263094506222,
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"train_runtime": 2843.733,
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"train_samples_per_second": 50.495,
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"train_steps_per_second": 3.156
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_loss": 2.0126099586486816,
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"eval_runtime": 4087.7012,
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"eval_samples_per_second": 7.809,
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"eval_steps_per_second": 0.488,
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"perplexity": 7.482821738733412
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}
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train_results.json
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@@ -0,0 +1,8 @@
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{
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"epoch": 1.0,
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"total_flos": 1.3078189256852111e+18,
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"train_loss": 2.2911263094506222,
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"train_runtime": 2843.733,
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"train_samples_per_second": 50.495,
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"train_steps_per_second": 3.156
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}
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trainer_state.json
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@@ -0,0 +1,665 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 8975,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.011142061281337047,
|
| 13 |
+
"grad_norm": 0.04801425710320473,
|
| 14 |
+
"learning_rate": 2.7859033291544785e-07,
|
| 15 |
+
"loss": 2.4677,
|
| 16 |
+
"step": 100
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.022284122562674095,
|
| 20 |
+
"grad_norm": 0.04515479877591133,
|
| 21 |
+
"learning_rate": 5.571806658308957e-07,
|
| 22 |
+
"loss": 2.465,
|
| 23 |
+
"step": 200
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.033426183844011144,
|
| 27 |
+
"grad_norm": 0.04905751347541809,
|
| 28 |
+
"learning_rate": 8.357709987463436e-07,
|
| 29 |
+
"loss": 2.479,
|
| 30 |
+
"step": 300
|
| 31 |
+
},
|
| 32 |
+
{
|
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