magistrate-3.2-3b-it-GGUF

magistrate-3.2-3b-it

This model is a fine-tuned version of macadeliccc/magistrate-3.2-3b-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8067

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>

<details><summary>See axolotl config</summary>

axolotl version: 0.4.1

base_model: macadeliccc/magistrate-3.2-3b-base
model_type: LlamaForCausalLM
tokenizer_type: AutoTokenizer

load_in_8bit: false
load_in_4bit: false
strict: false

datasets:
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/hermes-2.5.jsonl
  # - path: json 
  #   type: sharegpt
  #   conversation: chatml
  #   data_files: train/financial_instructions_cleaned_2.json
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/glaive-function-calling-5k.json
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/func-calling-singleturn.json
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/func-calling.json
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/json-mode-agentic.json
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/json-mode-singleturn.json
  - path: json 
    type: sharegpt
    conversation: chatml
    data_files: train/reasoning_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/systemchat_2_0_small.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/303_creative_llc_v__elenis_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/abitron_austria_gmbh_v__hetronic_international__inc__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/acheson_hotels__llc_v__laufer_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/alexander_v__sc_conference_of_naacp_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/amgen_inc__v__sanofi_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/andy_warhol_found___inc__v__goldsmith_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/arizona_v__navajo_nation_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/becerra__sec__of_h_hs_v__san_carlos_apache_tribe_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/biden_v__nebraska_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/bissonnette_v__lepage_bakeries_park_st___llc_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/bittner_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/brown_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/cantero_v__bank_of_america__n_a__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/cfpb_v__com__fin__services_assn__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/chiaverini_v__city_of_napoleon_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/ciminelli_v__united_state_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/city_of_grants_pass_v__johnson_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/coinbase__inc__v__bielski_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/coinbase__inc__v__suski_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/connelly_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/corner_post__inc__v__bd__of_governors__frs_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/counterman_v__colorado_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/cruz_v__arizona_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/culley_v__marshall_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/dept__of_agric__rural_dev__v__kirtz_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/dept__of_education_v__brown_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/dept__of_state_v__munoz_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/devillier_v__texas_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/diaz_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/dubin_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/dupree_v__younger_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/erlinger_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/fbi_v__fikre_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/fda_v__alliance_hippocratic_medicine_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/financial_oversight_board_v__cpi_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/fischer_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/garland__att_y_gen__v__cargill_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/glacier_northwest__inc__v__int_l_brotherhood_of_teamsters_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/gonzalez_v__google_llc_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/gonzalez_v__trevino_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/great_lakes_insurance_se_v__raiders_retreat_realty_co___llc_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/groff_v__dejoy_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/harrington_v__purdue_pharma_l_p__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/harrow_v__dept__of_defense_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/health_and_hospital_corp__v__talevski_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/helix_energy_solutions_v__hewitt_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/in_re_grand_jury_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/jack_daniel_s_properties__inc__v__vip_products_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/jones_v__hendrix_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/karcho_polselli_v__irs_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/lac_du_flambeau_band_v__coughlin_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/lindke_v__freed_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/loper_bright_enterprises__inc__v__raimondo__sec__of_comm__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/lora_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/macquarie_infrastructure_corp__v__moab_partners__l_p__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/mallory_v__norfolk_southern_railway_co__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/mcintosh_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/merrill_v__milligan_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/moore_v__harper_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/moore_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/moyle_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/muldrow_v__st__louis_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/murray_v__ubs_securities__llc_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/murthy__surgeon_gen__v__missouri_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/netchoice__llc_v__paxton_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/new_york_v__new_jersey_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/nra_v__vullo_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/o_connor_ratcliff_v__garnier_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/oh_adjutant_gen__s_dept__v__flra_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/ohio_v__epa_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/perez_v__sturgis_public_schools_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/pugin_v__garland_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/pulsifer_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/relentless__inc__v__dept__of_commerce_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/rudisill_v__mcdonough__sec__of_va_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/sackett_v__epa_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/samia_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/santos_zacaria_v__garland__att_y_gen__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/sec_v__cochran_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/sec_v__jarkesy_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/sheetz_v__county_of_el_dorado_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/slack_technologies__llc_v__pirani_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/smith_v__arizona_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/smith_v__spizzirri_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/smith_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/snyder_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/starbucks_corp__v__mckinney_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/students_for_fair_admissions_v__university_of_nc_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/texas_v__new_mexico_and_colorado_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/thornell_v__jones_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/truck_insurance_exchange_v__kaiser_gypsum_co__inc__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/trump_v__anderson_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/turkiye_halk_bankasi_a_s__v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/twitter__inc__v__taamneh_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/tyler_v__hennepin_county_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/u_s___ex_rel__polansky_v__executive_health_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/u_s___ex_rel__schutte_v__supervalu_inc__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/united_states_trustee_v__john_q__hammons_fall_2006__llc_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/united_states_v__hansen_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/united_states_v__rahimi_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/united_states_v__texas_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/vidal__under_sec__of_comm__v__elster_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/warner_chappell_music__inc__v__nealy_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/wilkins_v__united_states_sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/wilkinson_v__garland__att_y_gen__sharegpt.json
  - path: json
    type: sharegpt
    conversation: chatml
    data_files: train/argument_dataset/yegiazaryan_v__smagin_sharegpt.json

chat_template: chatml

unfrozen_parameters:
- ^lm_head.weight$
- ^model.embed_tokens.weight$
# input_layernorm layers
- model.layers.0.input_layernorm
- model.layers.1.input_layernorm
- model.layers.2.input_layernorm
- model.layers.3.input_layernorm
- model.layers.4.input_layernorm
- model.layers.5.input_layernorm
- model.layers.6.input_layernorm
- model.layers.7.input_layernorm
- model.layers.8.input_layernorm
- model.layers.9.input_layernorm
- model.layers.10.input_layernorm
- model.layers.11.input_layernorm
- model.layers.12.input_layernorm
- model.layers.13.input_layernorm
# mlp.down_proj layers
- model.layers.0.mlp.down_proj
- model.layers.1.mlp.down_proj
- model.layers.17.mlp.down_proj
- model.layers.19.mlp.down_proj
- model.layers.18.mlp.down_proj
- model.layers.5.mlp.down_proj
- model.layers.20.mlp.down_proj
- model.layers.2.mlp.down_proj
- model.layers.4.mlp.down_proj
- model.layers.6.mlp.down_proj
- model.layers.3.mlp.down_proj
- model.layers.16.mlp.down_proj
- model.layers.15.mlp.down_proj
- model.layers.13.mlp.down_proj
# mlp.gate_proj layers
- model.layers.0.mlp.gate_proj
- model.layers.1.mlp.gate_proj
- model.layers.2.mlp.gate_proj
- model.layers.3.mlp.gate_proj
- model.layers.22.mlp.gate_proj
- model.layers.21.mlp.gate_proj
- model.layers.20.mlp.gate_proj
- model.layers.23.mlp.gate_proj
- model.layers.19.mlp.gate_proj
- model.layers.4.mlp.gate_proj
- model.layers.18.mlp.gate_proj
- model.layers.17.mlp.gate_proj
- model.layers.5.mlp.gate_proj
- model.layers.24.mlp.gate_proj
# mlp.up_proj layers
- model.layers.4.mlp.up_proj
- model.layers.3.mlp.up_proj
- model.layers.5.mlp.up_proj
- model.layers.6.mlp.up_proj
- model.layers.7.mlp.up_proj
- model.layers.2.mlp.up_proj
- model.layers.8.mlp.up_proj
- model.layers.14.mlp.up_proj
- model.layers.13.mlp.up_proj
- model.layers.11.mlp.up_proj
- model.layers.9.mlp.up_proj
- model.layers.1.mlp.up_proj
- model.layers.15.mlp.up_proj
- model.layers.12.mlp.up_proj
# post_attention_layernorm layers
- model.layers.0.post_attention_layernorm
- model.layers.1.post_attention_layernorm
- model.layers.2.post_attention_layernorm
- model.layers.3.post_attention_layernorm
- model.layers.4.post_attention_layernorm
- model.layers.5.post_attention_layernorm
- model.layers.6.post_attention_layernorm
- model.layers.7.post_attention_layernorm
- model.layers.8.post_attention_layernorm
- model.layers.9.post_attention_layernorm
- model.layers.10.post_attention_layernorm
- model.layers.11.post_attention_layernorm
- model.layers.12.post_attention_layernorm
- model.layers.13.post_attention_layernorm
# self_attn.k_proj layers
- model.layers.25.self_attn.k_proj
- model.layers.22.self_attn.k_proj
- model.layers.19.self_attn.k_proj
- model.layers.20.self_attn.k_proj
- model.layers.17.self_attn.k_proj
- model.layers.24.self_attn.k_proj
- model.layers.23.self_attn.k_proj
- model.layers.18.self_attn.k_proj
- model.layers.21.self_attn.k_proj
- model.layers.27.self_attn.k_proj
- model.layers.15.self_attn.k_proj
- model.layers.10.self_attn.k_proj
- model.layers.6.self_attn.k_proj
- model.layers.5.self_attn.k_proj
# self_attn.o_proj layers
- model.layers.13.self_attn.o_proj
- model.layers.7.self_attn.o_proj
- model.layers.12.self_attn.o_proj
- model.layers.10.self_attn.o_proj
- model.layers.5.self_attn.o_proj
- model.layers.21.self_attn.o_proj
- model.layers.6.self_attn.o_proj
- model.layers.19.self_attn.o_proj
- model.layers.8.self_attn.o_proj
- model.layers.20.self_attn.o_proj
- model.layers.22.self_attn.o_proj
- model.layers.9.self_attn.o_proj
- model.layers.17.self_attn.o_proj
- model.layers.11.self_attn.o_proj
# self_attn.q_proj layers
- model.layers.12.self_attn.q_proj
- model.layers.13.self_attn.q_proj
- model.layers.9.self_attn.q_proj
- model.layers.8.self_attn.q_proj
- model.layers.10.self_attn.q_proj
- model.layers.14.self_attn.q_proj
- model.layers.11.self_attn.q_proj
- model.layers.15.self_attn.q_proj
- model.layers.26.self_attn.q_proj
- model.layers.6.self_attn.q_proj
- model.layers.7.self_attn.q_proj
- model.layers.16.self_attn.q_proj
- model.layers.5.self_attn.q_proj
- model.layers.25.self_attn.q_proj
# model.norm layers
# self_attn.v_proj layers
- model.layers.23.self_attn.v_proj
- model.layers.14.self_attn.v_proj
- model.layers.15.self_attn.v_proj
- model.layers.19.self_attn.v_proj
- model.layers.3.self_attn.v_proj
- model.layers.18.self_attn.v_proj
- model.layers.25.self_attn.v_proj
- model.layers.4.self_attn.v_proj
- model.layers.17.self_attn.v_proj
- model.layers.22.self_attn.v_proj
- model.layers.20.self_attn.v_proj
- model.layers.13.self_attn.v_proj
- model.layers.6.self_attn.v_proj
- model.layers.27.self_attn.v_proj

val_set_size: 0.05
output_dir: ./outputs/magistrate-3.2-3b

sequence_len: 8192
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len: true

adapter: 

wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:

gradient_accumulation_steps: 8
micro_batch_size: 1
num_epochs: 3
optimizer: paged_adamw_32bit
lr_scheduler: cosine
learning_rate: 2e-4

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false

gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
s2_attention:

warmup_steps: 1000
evals_per_epoch: 2
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: deepspeed_configs/zero3.json
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
  eos_token: "<|im_end|>"
  pad_token: "<|end_of_text|>"
tokens:
  - "<|im_start|>"
  - "<|im_end|>"

</details><br>

Model description

Magistrate-3.2-3b-it is a legal assistant specializing in US Supreme Court case law and US Federal regulations.

The base model is pretrained with ~250M tokens containing no synthetic legal data. The instruct model does contain synthetic data.

Intended uses & limitations

This model is for research purposes and for continued development of the legal specialty. You are liable for all model outputs.

Training and evaluation data

This model was trained on a variety of standard open source datasets like OpenHermes-2.5, hermes-function-calling, and some select entries from the Tome. Additionally, I have included a comprehensive, non-synthetic argument dataset. This is a work in progress but has shown promising results so far.

Training procedure

Spectrum top 35% finetune for both pretrain and SFT. Thanks to the cognitive computations team for the work done with spectrum.

• Pretraining methodology based on Cohere's paper: To Code, or Not To Code? Exploring Impact of Code in Pre-training
• Instruct finetune largely based on OpenHermes-2.5 and hermes-function-calling

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0002
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• total_eval_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 1000
• num_epochs: 3

Training results

Framework versions

• Transformers 4.45.0
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.20.0