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541f569
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Parent(s):
babaa85
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README.md
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| 1 |
+
---
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| 2 |
+
library_name: transformers
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| 3 |
+
license: llama3.2
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| 4 |
+
base_model: macadeliccc/magistrate-3.2-3b-base
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| 5 |
+
tags:
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| 6 |
+
- generated_from_trainer
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| 7 |
+
model-index:
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| 8 |
+
- name: outputs/magistrate-3.2-3b
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| 9 |
+
results: []
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| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
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| 15 |
+
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
|
| 16 |
+
<details><summary>See axolotl config</summary>
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| 17 |
+
|
| 18 |
+
axolotl version: `0.4.1`
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| 19 |
+
```yaml
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| 20 |
+
base_model: macadeliccc/magistrate-3.2-3b-base
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| 21 |
+
model_type: LlamaForCausalLM
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| 22 |
+
tokenizer_type: AutoTokenizer
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| 23 |
+
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| 24 |
+
load_in_8bit: false
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| 25 |
+
load_in_4bit: false
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| 26 |
+
strict: false
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| 27 |
+
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| 28 |
+
datasets:
|
| 29 |
+
- path: json
|
| 30 |
+
type: sharegpt
|
| 31 |
+
conversation: chatml
|
| 32 |
+
data_files: train/hermes-2.5.jsonl
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| 33 |
+
# - path: json
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| 34 |
+
# type: sharegpt
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| 35 |
+
# conversation: chatml
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| 36 |
+
# data_files: train/financial_instructions_cleaned_2.json
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| 37 |
+
- path: json
|
| 38 |
+
type: sharegpt
|
| 39 |
+
conversation: chatml
|
| 40 |
+
data_files: train/glaive-function-calling-5k.json
|
| 41 |
+
- path: json
|
| 42 |
+
type: sharegpt
|
| 43 |
+
conversation: chatml
|
| 44 |
+
data_files: train/func-calling-singleturn.json
|
| 45 |
+
- path: json
|
| 46 |
+
type: sharegpt
|
| 47 |
+
conversation: chatml
|
| 48 |
+
data_files: train/func-calling.json
|
| 49 |
+
- path: json
|
| 50 |
+
type: sharegpt
|
| 51 |
+
conversation: chatml
|
| 52 |
+
data_files: train/json-mode-agentic.json
|
| 53 |
+
- path: json
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| 54 |
+
type: sharegpt
|
| 55 |
+
conversation: chatml
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| 56 |
+
data_files: train/json-mode-singleturn.json
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| 57 |
+
- path: json
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| 58 |
+
type: sharegpt
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| 59 |
+
conversation: chatml
|
| 60 |
+
data_files: train/reasoning_sharegpt.json
|
| 61 |
+
- path: json
|
| 62 |
+
type: sharegpt
|
| 63 |
+
conversation: chatml
|
| 64 |
+
data_files: train/systemchat_2_0_small.json
|
| 65 |
+
- path: json
|
| 66 |
+
type: sharegpt
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| 416 |
+
data_files: train/argument_dataset/students_for_fair_admissions_v__university_of_nc_sharegpt.json
|
| 417 |
+
- path: json
|
| 418 |
+
type: sharegpt
|
| 419 |
+
conversation: chatml
|
| 420 |
+
data_files: train/argument_dataset/texas_v__new_mexico_and_colorado_sharegpt.json
|
| 421 |
+
- path: json
|
| 422 |
+
type: sharegpt
|
| 423 |
+
conversation: chatml
|
| 424 |
+
data_files: train/argument_dataset/thornell_v__jones_sharegpt.json
|
| 425 |
+
- path: json
|
| 426 |
+
type: sharegpt
|
| 427 |
+
conversation: chatml
|
| 428 |
+
data_files: train/argument_dataset/truck_insurance_exchange_v__kaiser_gypsum_co__inc__sharegpt.json
|
| 429 |
+
- path: json
|
| 430 |
+
type: sharegpt
|
| 431 |
+
conversation: chatml
|
| 432 |
+
data_files: train/argument_dataset/trump_v__anderson_sharegpt.json
|
| 433 |
+
- path: json
|
| 434 |
+
type: sharegpt
|
| 435 |
+
conversation: chatml
|
| 436 |
+
data_files: train/argument_dataset/turkiye_halk_bankasi_a_s__v__united_states_sharegpt.json
|
| 437 |
+
- path: json
|
| 438 |
+
type: sharegpt
|
| 439 |
+
conversation: chatml
|
| 440 |
+
data_files: train/argument_dataset/twitter__inc__v__taamneh_sharegpt.json
|
| 441 |
+
- path: json
|
| 442 |
+
type: sharegpt
|
| 443 |
+
conversation: chatml
|
| 444 |
+
data_files: train/argument_dataset/tyler_v__hennepin_county_sharegpt.json
|
| 445 |
+
- path: json
|
| 446 |
+
type: sharegpt
|
| 447 |
+
conversation: chatml
|
| 448 |
+
data_files: train/argument_dataset/u_s___ex_rel__polansky_v__executive_health_sharegpt.json
|
| 449 |
+
- path: json
|
| 450 |
+
type: sharegpt
|
| 451 |
+
conversation: chatml
|
| 452 |
+
data_files: train/argument_dataset/u_s___ex_rel__schutte_v__supervalu_inc__sharegpt.json
|
| 453 |
+
- path: json
|
| 454 |
+
type: sharegpt
|
| 455 |
+
conversation: chatml
|
| 456 |
+
data_files: train/argument_dataset/united_states_trustee_v__john_q__hammons_fall_2006__llc_sharegpt.json
|
| 457 |
+
- path: json
|
| 458 |
+
type: sharegpt
|
| 459 |
+
conversation: chatml
|
| 460 |
+
data_files: train/argument_dataset/united_states_v__hansen_sharegpt.json
|
| 461 |
+
- path: json
|
| 462 |
+
type: sharegpt
|
| 463 |
+
conversation: chatml
|
| 464 |
+
data_files: train/argument_dataset/united_states_v__rahimi_sharegpt.json
|
| 465 |
+
- path: json
|
| 466 |
+
type: sharegpt
|
| 467 |
+
conversation: chatml
|
| 468 |
+
data_files: train/argument_dataset/united_states_v__texas_sharegpt.json
|
| 469 |
+
- path: json
|
| 470 |
+
type: sharegpt
|
| 471 |
+
conversation: chatml
|
| 472 |
+
data_files: train/argument_dataset/vidal__under_sec__of_comm__v__elster_sharegpt.json
|
| 473 |
+
- path: json
|
| 474 |
+
type: sharegpt
|
| 475 |
+
conversation: chatml
|
| 476 |
+
data_files: train/argument_dataset/warner_chappell_music__inc__v__nealy_sharegpt.json
|
| 477 |
+
- path: json
|
| 478 |
+
type: sharegpt
|
| 479 |
+
conversation: chatml
|
| 480 |
+
data_files: train/argument_dataset/wilkins_v__united_states_sharegpt.json
|
| 481 |
+
- path: json
|
| 482 |
+
type: sharegpt
|
| 483 |
+
conversation: chatml
|
| 484 |
+
data_files: train/argument_dataset/wilkinson_v__garland__att_y_gen__sharegpt.json
|
| 485 |
+
- path: json
|
| 486 |
+
type: sharegpt
|
| 487 |
+
conversation: chatml
|
| 488 |
+
data_files: train/argument_dataset/yegiazaryan_v__smagin_sharegpt.json
|
| 489 |
+
|
| 490 |
+
chat_template: chatml
|
| 491 |
+
|
| 492 |
+
unfrozen_parameters:
|
| 493 |
+
- ^lm_head.weight$
|
| 494 |
+
- ^model.embed_tokens.weight$
|
| 495 |
+
# input_layernorm layers
|
| 496 |
+
- model.layers.0.input_layernorm
|
| 497 |
+
- model.layers.1.input_layernorm
|
| 498 |
+
- model.layers.2.input_layernorm
|
| 499 |
+
- model.layers.3.input_layernorm
|
| 500 |
+
- model.layers.4.input_layernorm
|
| 501 |
+
- model.layers.5.input_layernorm
|
| 502 |
+
- model.layers.6.input_layernorm
|
| 503 |
+
- model.layers.7.input_layernorm
|
| 504 |
+
- model.layers.8.input_layernorm
|
| 505 |
+
- model.layers.9.input_layernorm
|
| 506 |
+
- model.layers.10.input_layernorm
|
| 507 |
+
- model.layers.11.input_layernorm
|
| 508 |
+
- model.layers.12.input_layernorm
|
| 509 |
+
- model.layers.13.input_layernorm
|
| 510 |
+
# mlp.down_proj layers
|
| 511 |
+
- model.layers.0.mlp.down_proj
|
| 512 |
+
- model.layers.1.mlp.down_proj
|
| 513 |
+
- model.layers.17.mlp.down_proj
|
| 514 |
+
- model.layers.19.mlp.down_proj
|
| 515 |
+
- model.layers.18.mlp.down_proj
|
| 516 |
+
- model.layers.5.mlp.down_proj
|
| 517 |
+
- model.layers.20.mlp.down_proj
|
| 518 |
+
- model.layers.2.mlp.down_proj
|
| 519 |
+
- model.layers.4.mlp.down_proj
|
| 520 |
+
- model.layers.6.mlp.down_proj
|
| 521 |
+
- model.layers.3.mlp.down_proj
|
| 522 |
+
- model.layers.16.mlp.down_proj
|
| 523 |
+
- model.layers.15.mlp.down_proj
|
| 524 |
+
- model.layers.13.mlp.down_proj
|
| 525 |
+
# mlp.gate_proj layers
|
| 526 |
+
- model.layers.0.mlp.gate_proj
|
| 527 |
+
- model.layers.1.mlp.gate_proj
|
| 528 |
+
- model.layers.2.mlp.gate_proj
|
| 529 |
+
- model.layers.3.mlp.gate_proj
|
| 530 |
+
- model.layers.22.mlp.gate_proj
|
| 531 |
+
- model.layers.21.mlp.gate_proj
|
| 532 |
+
- model.layers.20.mlp.gate_proj
|
| 533 |
+
- model.layers.23.mlp.gate_proj
|
| 534 |
+
- model.layers.19.mlp.gate_proj
|
| 535 |
+
- model.layers.4.mlp.gate_proj
|
| 536 |
+
- model.layers.18.mlp.gate_proj
|
| 537 |
+
- model.layers.17.mlp.gate_proj
|
| 538 |
+
- model.layers.5.mlp.gate_proj
|
| 539 |
+
- model.layers.24.mlp.gate_proj
|
| 540 |
+
# mlp.up_proj layers
|
| 541 |
+
- model.layers.4.mlp.up_proj
|
| 542 |
+
- model.layers.3.mlp.up_proj
|
| 543 |
+
- model.layers.5.mlp.up_proj
|
| 544 |
+
- model.layers.6.mlp.up_proj
|
| 545 |
+
- model.layers.7.mlp.up_proj
|
| 546 |
+
- model.layers.2.mlp.up_proj
|
| 547 |
+
- model.layers.8.mlp.up_proj
|
| 548 |
+
- model.layers.14.mlp.up_proj
|
| 549 |
+
- model.layers.13.mlp.up_proj
|
| 550 |
+
- model.layers.11.mlp.up_proj
|
| 551 |
+
- model.layers.9.mlp.up_proj
|
| 552 |
+
- model.layers.1.mlp.up_proj
|
| 553 |
+
- model.layers.15.mlp.up_proj
|
| 554 |
+
- model.layers.12.mlp.up_proj
|
| 555 |
+
# post_attention_layernorm layers
|
| 556 |
+
- model.layers.0.post_attention_layernorm
|
| 557 |
+
- model.layers.1.post_attention_layernorm
|
| 558 |
+
- model.layers.2.post_attention_layernorm
|
| 559 |
+
- model.layers.3.post_attention_layernorm
|
| 560 |
+
- model.layers.4.post_attention_layernorm
|
| 561 |
+
- model.layers.5.post_attention_layernorm
|
| 562 |
+
- model.layers.6.post_attention_layernorm
|
| 563 |
+
- model.layers.7.post_attention_layernorm
|
| 564 |
+
- model.layers.8.post_attention_layernorm
|
| 565 |
+
- model.layers.9.post_attention_layernorm
|
| 566 |
+
- model.layers.10.post_attention_layernorm
|
| 567 |
+
- model.layers.11.post_attention_layernorm
|
| 568 |
+
- model.layers.12.post_attention_layernorm
|
| 569 |
+
- model.layers.13.post_attention_layernorm
|
| 570 |
+
# self_attn.k_proj layers
|
| 571 |
+
- model.layers.25.self_attn.k_proj
|
| 572 |
+
- model.layers.22.self_attn.k_proj
|
| 573 |
+
- model.layers.19.self_attn.k_proj
|
| 574 |
+
- model.layers.20.self_attn.k_proj
|
| 575 |
+
- model.layers.17.self_attn.k_proj
|
| 576 |
+
- model.layers.24.self_attn.k_proj
|
| 577 |
+
- model.layers.23.self_attn.k_proj
|
| 578 |
+
- model.layers.18.self_attn.k_proj
|
| 579 |
+
- model.layers.21.self_attn.k_proj
|
| 580 |
+
- model.layers.27.self_attn.k_proj
|
| 581 |
+
- model.layers.15.self_attn.k_proj
|
| 582 |
+
- model.layers.10.self_attn.k_proj
|
| 583 |
+
- model.layers.6.self_attn.k_proj
|
| 584 |
+
- model.layers.5.self_attn.k_proj
|
| 585 |
+
# self_attn.o_proj layers
|
| 586 |
+
- model.layers.13.self_attn.o_proj
|
| 587 |
+
- model.layers.7.self_attn.o_proj
|
| 588 |
+
- model.layers.12.self_attn.o_proj
|
| 589 |
+
- model.layers.10.self_attn.o_proj
|
| 590 |
+
- model.layers.5.self_attn.o_proj
|
| 591 |
+
- model.layers.21.self_attn.o_proj
|
| 592 |
+
- model.layers.6.self_attn.o_proj
|
| 593 |
+
- model.layers.19.self_attn.o_proj
|
| 594 |
+
- model.layers.8.self_attn.o_proj
|
| 595 |
+
- model.layers.20.self_attn.o_proj
|
| 596 |
+
- model.layers.22.self_attn.o_proj
|
| 597 |
+
- model.layers.9.self_attn.o_proj
|
| 598 |
+
- model.layers.17.self_attn.o_proj
|
| 599 |
+
- model.layers.11.self_attn.o_proj
|
| 600 |
+
# self_attn.q_proj layers
|
| 601 |
+
- model.layers.12.self_attn.q_proj
|
| 602 |
+
- model.layers.13.self_attn.q_proj
|
| 603 |
+
- model.layers.9.self_attn.q_proj
|
| 604 |
+
- model.layers.8.self_attn.q_proj
|
| 605 |
+
- model.layers.10.self_attn.q_proj
|
| 606 |
+
- model.layers.14.self_attn.q_proj
|
| 607 |
+
- model.layers.11.self_attn.q_proj
|
| 608 |
+
- model.layers.15.self_attn.q_proj
|
| 609 |
+
- model.layers.26.self_attn.q_proj
|
| 610 |
+
- model.layers.6.self_attn.q_proj
|
| 611 |
+
- model.layers.7.self_attn.q_proj
|
| 612 |
+
- model.layers.16.self_attn.q_proj
|
| 613 |
+
- model.layers.5.self_attn.q_proj
|
| 614 |
+
- model.layers.25.self_attn.q_proj
|
| 615 |
+
# model.norm layers
|
| 616 |
+
# self_attn.v_proj layers
|
| 617 |
+
- model.layers.23.self_attn.v_proj
|
| 618 |
+
- model.layers.14.self_attn.v_proj
|
| 619 |
+
- model.layers.15.self_attn.v_proj
|
| 620 |
+
- model.layers.19.self_attn.v_proj
|
| 621 |
+
- model.layers.3.self_attn.v_proj
|
| 622 |
+
- model.layers.18.self_attn.v_proj
|
| 623 |
+
- model.layers.25.self_attn.v_proj
|
| 624 |
+
- model.layers.4.self_attn.v_proj
|
| 625 |
+
- model.layers.17.self_attn.v_proj
|
| 626 |
+
- model.layers.22.self_attn.v_proj
|
| 627 |
+
- model.layers.20.self_attn.v_proj
|
| 628 |
+
- model.layers.13.self_attn.v_proj
|
| 629 |
+
- model.layers.6.self_attn.v_proj
|
| 630 |
+
- model.layers.27.self_attn.v_proj
|
| 631 |
+
|
| 632 |
+
val_set_size: 0.05
|
| 633 |
+
output_dir: ./outputs/magistrate-3.2-3b
|
| 634 |
+
|
| 635 |
+
sequence_len: 8192
|
| 636 |
+
sample_packing: true
|
| 637 |
+
eval_sample_packing: false
|
| 638 |
+
pad_to_sequence_len: true
|
| 639 |
+
|
| 640 |
+
adapter:
|
| 641 |
+
|
| 642 |
+
wandb_project:
|
| 643 |
+
wandb_entity:
|
| 644 |
+
wandb_watch:
|
| 645 |
+
wandb_name:
|
| 646 |
+
wandb_log_model:
|
| 647 |
+
|
| 648 |
+
gradient_accumulation_steps: 8
|
| 649 |
+
micro_batch_size: 1
|
| 650 |
+
num_epochs: 3
|
| 651 |
+
optimizer: paged_adamw_32bit
|
| 652 |
+
lr_scheduler: cosine
|
| 653 |
+
learning_rate: 2e-4
|
| 654 |
+
|
| 655 |
+
train_on_inputs: false
|
| 656 |
+
group_by_length: false
|
| 657 |
+
bf16: auto
|
| 658 |
+
fp16:
|
| 659 |
+
tf32: false
|
| 660 |
+
|
| 661 |
+
gradient_checkpointing: true
|
| 662 |
+
early_stopping_patience:
|
| 663 |
+
resume_from_checkpoint:
|
| 664 |
+
local_rank:
|
| 665 |
+
logging_steps: 1
|
| 666 |
+
xformers_attention:
|
| 667 |
+
flash_attention: true
|
| 668 |
+
s2_attention:
|
| 669 |
+
|
| 670 |
+
warmup_steps: 1000
|
| 671 |
+
evals_per_epoch: 2
|
| 672 |
+
eval_table_size:
|
| 673 |
+
eval_max_new_tokens: 128
|
| 674 |
+
saves_per_epoch: 1
|
| 675 |
+
debug:
|
| 676 |
+
deepspeed: deepspeed_configs/zero3.json
|
| 677 |
+
weight_decay: 0.0
|
| 678 |
+
fsdp:
|
| 679 |
+
fsdp_config:
|
| 680 |
+
special_tokens:
|
| 681 |
+
eos_token: "<|im_end|>"
|
| 682 |
+
pad_token: "<|end_of_text|>"
|
| 683 |
+
tokens:
|
| 684 |
+
- "<|im_start|>"
|
| 685 |
+
- "<|im_end|>"
|
| 686 |
+
```
|
| 687 |
+
|
| 688 |
+
</details><br>
|
| 689 |
+
|
| 690 |
+
# outputs/magistrate-3.2-3b
|
| 691 |
+
|
| 692 |
+
This model is a fine-tuned version of [macadeliccc/magistrate-3.2-3b-base](https://huggingface.co/macadeliccc/magistrate-3.2-3b-base) on the None dataset.
|
| 693 |
+
It achieves the following results on the evaluation set:
|
| 694 |
+
- Loss: 0.8067
|
| 695 |
+
|
| 696 |
+
## Model description
|
| 697 |
+
|
| 698 |
+
More information needed
|
| 699 |
+
|
| 700 |
+
## Intended uses & limitations
|
| 701 |
+
|
| 702 |
+
More information needed
|
| 703 |
+
|
| 704 |
+
## Training and evaluation data
|
| 705 |
+
|
| 706 |
+
More information needed
|
| 707 |
+
|
| 708 |
+
## Training procedure
|
| 709 |
+
|
| 710 |
+
### Training hyperparameters
|
| 711 |
+
|
| 712 |
+
The following hyperparameters were used during training:
|
| 713 |
+
- learning_rate: 0.0002
|
| 714 |
+
- train_batch_size: 1
|
| 715 |
+
- eval_batch_size: 1
|
| 716 |
+
- seed: 42
|
| 717 |
+
- distributed_type: multi-GPU
|
| 718 |
+
- num_devices: 2
|
| 719 |
+
- gradient_accumulation_steps: 8
|
| 720 |
+
- total_train_batch_size: 16
|
| 721 |
+
- total_eval_batch_size: 2
|
| 722 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 723 |
+
- lr_scheduler_type: cosine
|
| 724 |
+
- lr_scheduler_warmup_steps: 1000
|
| 725 |
+
- num_epochs: 3
|
| 726 |
+
|
| 727 |
+
### Training results
|
| 728 |
+
|
| 729 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 730 |
+
|:-------------:|:------:|:----:|:---------------:|
|
| 731 |
+
| 1.3754 | 0.0005 | 1 | 1.7429 |
|
| 732 |
+
| 1.0 | 0.5002 | 1017 | 0.8864 |
|
| 733 |
+
| 0.9482 | 1.0005 | 2034 | 0.8395 |
|
| 734 |
+
| 0.6817 | 1.4987 | 3051 | 0.8063 |
|
| 735 |
+
| 0.697 | 1.9991 | 4068 | 0.7580 |
|
| 736 |
+
| 0.3769 | 2.4966 | 5085 | 0.8140 |
|
| 737 |
+
| 0.4278 | 2.9965 | 6102 | 0.8067 |
|
| 738 |
+
|
| 739 |
+
|
| 740 |
+
### Framework versions
|
| 741 |
+
|
| 742 |
+
- Transformers 4.45.0
|
| 743 |
+
- Pytorch 2.3.1+cu121
|
| 744 |
+
- Datasets 2.21.0
|
| 745 |
+
- Tokenizers 0.20.0
|