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Model: defog/llama-3-sqlcoder-8b Source: Original Platform
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META_COMMUNITY_LICENSE
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META_COMMUNITY_LICENSE
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META LLAMA 3 COMMUNITY LICENSE AGREEMENT
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distributed by Meta at https://llama.meta.com/get-started/.
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“Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into
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“Meta Llama 3” means the foundational large language models and software and algorithms, including
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48
README.md
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---
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license: cc-by-sa-4.0
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metrics:
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- accuracy
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pipeline_tag: text-generation
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tags:
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- code
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---
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A capable language model for text to SQL generation for Postgres, Redshift and Snowflake that is on-par with the most capable generalist frontier models.
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## Model Description
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Developed by: Defog, Inc
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Model type: [Text to SQL]
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License: [CC-by-SA-4.0]
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Finetuned from model: [Meta-Llama-3-8B-Instruct]
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## Demo Page
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[https://defog.ai/sqlcoder-demo/](https://defog.ai/sqlcoder-demo/)
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## Ideal prompt and inference parameters
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Set temperature to 0, and do not do sampling.
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### Prompt
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```
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<|begin_of_text|><|start_header_id|>user<|end_header_id|>
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Generate a SQL query to answer this question: `{user_question}`
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{instructions}
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DDL statements:
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{create_table_statements}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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The following SQL query best answers the question `{user_question}`:
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```sql
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```
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## Evaluation
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This model was evaluated on SQL-Eval, a PostgreSQL based evaluation framework developed by Defog for testing and alignment of model capabilities.
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You can read more about the methodology behind SQLEval [here](https://defog.ai/blog/open-sourcing-sqleval/).
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## Contact
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Contact us on X at [@defogdata](https://twitter.com/defogdata), or on email at founders@defog.ai
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config.json
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{
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"_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.0",
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"use_cache": true,
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"vocab_size": 128256
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}
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configuration.json
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configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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generation_config.json
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{
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"bos_token_id": 128000,
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"do_sample": false,
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"eos_token_id": [
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128001,
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128009
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],
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"max_length": 4096,
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"temperature": 0,
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"top_p": 1,
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"transformers_version": "4.40.0"
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}
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16
special_tokens_map.json
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16
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3
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Load Diff
934
trainer_state.json
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},
|
||||||
|
{
|
||||||
|
"epoch": 0.9166666666666666,
|
||||||
|
"eval_count_mismatch_i_diff_avg": 2.25,
|
||||||
|
"eval_first_index_mismatch_avg": 10.75,
|
||||||
|
"eval_loss": 0.11767315864562988,
|
||||||
|
"eval_mean_mismatch_i_diff_avg": 9.6875,
|
||||||
|
"eval_runtime": 1.4395,
|
||||||
|
"eval_samples_per_second": 2.779,
|
||||||
|
"eval_sql_exact_match_string": 0,
|
||||||
|
"eval_steps_per_second": 0.695,
|
||||||
|
"eval_tokens_match_avg": 0.9552213461413188,
|
||||||
|
"step": 550
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"logging_steps": 5,
|
||||||
|
"max_steps": 600,
|
||||||
|
"num_input_tokens_seen": 0,
|
||||||
|
"num_train_epochs": 1,
|
||||||
|
"save_steps": 50,
|
||||||
|
"total_flos": 5.255573265461084e+17,
|
||||||
|
"train_batch_size": 2,
|
||||||
|
"trial_name": null,
|
||||||
|
"trial_params": null
|
||||||
|
}
|
||||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:a5b830ad96e6ef339827c8f2f199064d80617e6d5143ed38868d24ee5802a509
|
||||||
|
size 5112
|
||||||
Reference in New Issue
Block a user