End of training
Browse files- README.md +4 -2
- adapter_model.bin +2 -2
- all_results.json +14 -0
- eval_results.json +9 -0
- train_results.json +8 -0
- trainer_state.json +574 -0
README.md
CHANGED
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@@ -3,6 +3,8 @@ license: llama2
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base_model: codellama/CodeLlama-7b-Instruct-hf
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tags:
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- generated_from_trainer
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model-index:
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- name: codellama_instruct_spider_e10
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results: []
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@@ -13,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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# codellama_instruct_spider_e10
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-
This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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## Model description
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base_model: codellama/CodeLlama-7b-Instruct-hf
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tags:
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- generated_from_trainer
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+
datasets:
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+
- tmnam20/SpiderInstruct
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model-index:
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- name: codellama_instruct_spider_e10
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results: []
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# codellama_instruct_spider_e10
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+
This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the tmnam20/SpiderInstruct dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.2393
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## Model description
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adapter_model.bin
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:86ca7bfef6ead2fc9a1e283bb64a98b32dad56e2c3a68dfa7d0c3a6a8ee8c5dd
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+
size 8434381
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all_results.json
ADDED
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@@ -0,0 +1,14 @@
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{
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"epoch": 9.98,
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"eval_loss": 0.2392657846212387,
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+
"eval_runtime": 31.8122,
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+
"eval_samples": 1034,
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| 6 |
+
"eval_samples_per_second": 32.503,
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+
"eval_steps_per_second": 4.086,
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+
"perplexity": 1.2703161222087103,
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| 9 |
+
"train_loss": 0.12795311623149447,
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+
"train_runtime": 11378.3589,
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+
"train_samples": 8659,
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+
"train_samples_per_second": 7.61,
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"train_steps_per_second": 0.237
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}
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eval_results.json
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{
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"epoch": 9.98,
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+
"eval_loss": 0.2392657846212387,
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+
"eval_runtime": 31.8122,
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+
"eval_samples": 1034,
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+
"eval_samples_per_second": 32.503,
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+
"eval_steps_per_second": 4.086,
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+
"perplexity": 1.2703161222087103
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+
}
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train_results.json
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{
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"epoch": 9.98,
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+
"train_loss": 0.12795311623149447,
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+
"train_runtime": 11378.3589,
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+
"train_samples": 8659,
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+
"train_samples_per_second": 7.61,
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+
"train_steps_per_second": 0.237
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}
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trainer_state.json
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@@ -0,0 +1,574 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.23951096832752228,
|
| 3 |
+
"best_model_checkpoint": "./text2sql/codellama_instruct_spider_e10/checkpoint-500",
|
| 4 |
+
"epoch": 9.97690531177829,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 2700,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"learning_rate": 3.08641975308642e-07,
|
| 14 |
+
"loss": 1.3897,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.18,
|
| 19 |
+
"learning_rate": 1.54320987654321e-05,
|
| 20 |
+
"loss": 1.3449,
|
| 21 |
+
"step": 50
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.37,
|
| 25 |
+
"learning_rate": 3.08641975308642e-05,
|
| 26 |
+
"loss": 0.822,
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| 27 |
+
"step": 100
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.37,
|
| 31 |
+
"eval_loss": 0.5313276648521423,
|
| 32 |
+
"eval_runtime": 34.4984,
|
| 33 |
+
"eval_samples_per_second": 29.972,
|
| 34 |
+
"eval_steps_per_second": 3.768,
|
| 35 |
+
"step": 100
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"epoch": 0.55,
|
| 39 |
+
"learning_rate": 4.62962962962963e-05,
|
| 40 |
+
"loss": 0.4342,
|
| 41 |
+
"step": 150
|
| 42 |
+
},
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