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Model: arcee-ai/zilo-instruct-v2-sft-filtered Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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- trl
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- sft
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- arcee-ai/Zilo-Filtered-SQL-Instruct-v2
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model-index:
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- name: zilo-instruct-v2-sft-filtered
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# zilo-instruct-v2-sft-filtered
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the arcee-ai/Zilo-Filtered-SQL-Instruct-v2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5474
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 128
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- total_eval_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.8602 | 1.0 | 7 | 1.3280 |
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| 2.9102 | 2.0 | 14 | 0.6256 |
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| 0.5329 | 3.0 | 21 | 0.5474 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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all_results.json
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{
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"epoch": 3.0,
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"eval_loss": 0.5474353432655334,
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"eval_runtime": 2.0253,
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"eval_samples": 1371,
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"eval_samples_per_second": 42.463,
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"eval_steps_per_second": 0.988,
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"total_flos": 8793945538560.0,
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"train_loss": 1.4474536804925828,
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"train_runtime": 170.8306,
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}
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config.json
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{
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"architectures": [
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"MistralForCausalLM"
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"model_type": "mistral",
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"rms_norm_eps": 1e-05,
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}
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
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|
||||
"content": "<s>",
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||||
91123
tokenizer.json
Normal file
91123
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
}
|
||||
9
train_results.json
Normal file
9
train_results.json
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
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|
||||
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||||
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|
||||
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|
||||
101
trainer_state.json
Normal file
101
trainer_state.json
Normal file
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
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||||
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||||
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|
||||
}
|
||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
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|
||||
size 6392
|
||||
Reference in New Issue
Block a user