tor-simt-llama-3-8b-curated-en-vi — git@unknown

.gitattributes

@@ -39,3 +39,7 @@ annotate/en-ar/matrices.jsonl filter=lfs diff=lfs merge=lfs -text
 annotate/en-de/matrices.jsonl filter=lfs diff=lfs merge=lfs -text
 annotate/en-ru/matrices.jsonl filter=lfs diff=lfs merge=lfs -text
 annotate/en-vi/matrices.jsonl filter=lfs diff=lfs merge=lfs -text
+annotate/ru-en/matrices.jsonl filter=lfs diff=lfs merge=lfs -text
+annotate/vi-en/matrices.jsonl filter=lfs diff=lfs merge=lfs -text
+source_pool.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

annotate/ru-en/matrices.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e38090082d9b3052b8eb2669132672d064d5b3ddcb1872126bf17572e72eecd2
+size 196866461

annotate/ru-en/summary.json

@@ -0,0 +1,40 @@
+{
+  "config": {
+    "n_sentences_requested": 50,
+    "n_sentences_kept": 9543,
+    "n_sentences_annotated": 9543,
+    "criterion": "ot",
+    "seed": 42,
+    "model_path": "/g/data/po67/dipankar/models/Meta-Llama-3-8B-Instruct",
+    "max_src_tokens": 80,
+    "taus": [
+      0.3
+    ],
+    "prompt_mode": "chat",
+    "record_entropy": false,
+    "indices_file": null,
+    "lookahead_k": 0
+  },
+  "sweep": [
+    {
+      "tau": 0.3,
+      "fire_fraction": 0.9951797128785497,
+      "mean_committed_fraction": 0.9658816525223544,
+      "chunks_per_sentence_mean_ours": 6.386670858220685,
+      "chunks_per_sentence_mean_gpt4": 0.0,
+      "pearson_i_over_n_vs_j_over_m": {
+        "n_defined": 9339,
+        "n_nan": 204,
+        "min": -5.255955881681541e-16,
+        "median": 0.9180903595272529,
+        "max": 0.9952489125938719
+      }
+    }
+  ],
+  "env": {
+    "device": "cuda",
+    "torch": "2.11.0+cu130",
+    "cuda_available": true,
+    "git_commit": "22c5889a5f88f1c8cd48728301457d04b01009d6"
+  }
+}

annotate/vi-en/DONE

@@ -0,0 +1 @@
+done

annotate/vi-en/matrices.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5843882bf598b024a38650cbb7ab0a75a960ed357d398f46859d23e15bac2c0d
+size 137004288

annotate/vi-en/summary.json

@@ -0,0 +1,40 @@
+{
+  "config": {
+    "n_sentences_requested": 50,
+    "n_sentences_kept": 9974,
+    "n_sentences_annotated": 9974,
+    "criterion": "ot",
+    "seed": 42,
+    "model_path": "/g/data/po67/dipankar/models/Meta-Llama-3-8B-Instruct",
+    "max_src_tokens": 80,
+    "taus": [
+      0.3
+    ],
+    "prompt_mode": "chat",
+    "record_entropy": false,
+    "indices_file": null,
+    "lookahead_k": 0
+  },
+  "sweep": [
+    {
+      "tau": 0.3,
+      "fire_fraction": 0.9958893122117506,
+      "mean_committed_fraction": 0.9503422043408971,
+      "chunks_per_sentence_mean_ours": 5.8881090836174055,
+      "chunks_per_sentence_mean_gpt4": 0.0,
+      "pearson_i_over_n_vs_j_over_m": {
+        "n_defined": 9816,
+        "n_nan": 158,
+        "min": -2.199074560103657e-16,
+        "median": 0.9226262127980368,
+        "max": 1.0000000000000002
+      }
+    }
+  ],
+  "env": {
+    "device": "cuda",
+    "torch": "2.11.0+cu130",
+    "cuda_available": true,
+    "git_commit": "22c5889a5f88f1c8cd48728301457d04b01009d6"
+  }
+}

chat_template.jinja

@@ -0,0 +1,5 @@
+{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
+
+'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
+
+' }}{% endif %}

config.json

@@ -0,0 +1,32 @@
+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "bfloat16",
+  "eos_token_id": 128009,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "rope_theta": 500000.0,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.14.1",
+  "use_cache": false,
+  "vocab_size": 128258
+}

config.yaml

@@ -0,0 +1,79 @@
+# llama_3_8b_curated — Llama-3-8B-Instruct backbone, curated corpus, self-annotated.
+# The "full recipe" line in Fig 1, 2, 3, 4 of docs/followup-experiments.md.
+# Same annotator as backbone → self-annotation. OT criterion, tau=0.30.
+#
+# 2026-09-01 backbone switch: was biaofu-xmu/EAST-8B (already-EAST-trained),
+# now meta-llama/Meta-Llama-3-8B-Instruct (base, exact same starting point
+# EAST used). See LOG.md 2026-09-01. 2026-09-02: tag renamed east_8b_curated
+# → llama_3_8b_curated to match the backbone (HF repo path would've said
+# "east-8b" but contained a Llama-3 checkpoint). Plot label `EAST↺ours`
+# retained in the plot: section for figure-legend continuity.
+# biaofu-xmu/EAST-8B released checkpoint is the published-competitor
+# reference line only, never a starting point.
+#
+# Run: bin/run configs/01_llama_3_8b_curated.yaml --ngpus 1
+
+tag: llama_3_8b_curated
+
+backbone:
+  hf_id: meta-llama/Meta-Llama-3-8B-Instruct
+  local_path: ${SIMT_MODEL_BASE}/Meta-Llama-3-8B-Instruct
+  is_instruct: true                                          # Llama-3 chat template
+  tokenizer_dir: ${SIMT_MODEL_BASE}/Meta-Llama-3-8B-Instruct-extended-v6
+                                                             # ← built by bin/04_prepare_tokenizer
+                                                             # (base Llama doesn't ship EOR/EOW)
+
+source_pool:
+  corpus: curated
+  directions:
+    en-de: 10000
+    de-en: 10000
+    en-ru: 10000
+    ru-en: 10000
+    en-ar: 10000
+    ar-en: 10000
+    en-vi: 10000
+    vi-en: 10000
+  human_target_only: true
+
+annotate:
+  annotator: same_as_backbone                                # self-annotation with Llama-3-8B-Instruct
+  criterion: ot
+  tau: 0.30
+  top_k: 128
+  lookahead_k: 0
+  latency_bins: [low, medium, high]                          # 3-bin (matches EAST paper)
+
+sft_dataset:
+  merge_small_chunks: true
+  min_src_words: 4
+  keep_collapsed_rows: false
+
+train:
+  num_epochs: 2
+  per_device_batch_size: 2                                   # 8B needs smaller batch
+  grad_accum_steps: 8                                        # effective batch = 16
+  learning_rate: 1.0e-5                                      # lower LR for 8B
+  warmup_steps: 200
+  eval_steps: 500
+  save_steps: 500
+  early_stopping_patience: 3
+  bf16: true
+  completion_only_loss: false
+
+eval:
+  test_sets:
+    wmt15: [de-en]
+    wmt22: [de-en, en-de, ru-en, en-ru]
+    iwslt17: [de-en, en-de, ar-en, en-ar]
+    iwslt15: [vi-en, en-vi]
+  latencies: [low, medium, high]
+  n_sentences: -1                   # -1 = full test set; override per-run with CLI
+  policy: check_argmax
+  mode: streaming
+
+
+plot:
+  color: "#c0392b"
+  marker: o
+  label: EAST↺ours

generation_config.json

@@ -0,0 +1,12 @@
+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128009
+  ],
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "5.14.1"
+}

logs/sft.log

@@ -0,0 +1,227 @@
+Direct write is requested for job: 178280308.gadi-pbs, but the destination is not usecp-able from gadi-gpu-h200-0013.gadi.nci.org.au
+Loading python3/3.10.4
+  Loading requirement: intel-mkl/2021.4.0
+Output dir: results/train/llama_3_8b_curated_en_vi
+Model: /g/data/po67/dipankar/models/Meta-Llama-3-8B-Instruct
+Tokenizer: /g/data/po67/dipankar/models/Meta-Llama-3-8B-Instruct-extended-v6
+Loading tokenizer ...
+  vocab size: 128,258
+Loading model from /g/data/po67/dipankar/models/Meta-Llama-3-8B-Instruct ...
+
+  loaded; original embed rows: 128,256
+Resizing embeddings: +2 rows (mean-cov init)
+[transformers] The new embeddings will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
+[transformers] The new lm_head weights will be initialized from a multivariate normal distribution that has old embeddings' mean and covariance. As described in this article: https://nlp.stanford.edu/~johnhew/vocab-expansion.html. To disable this, use `mean_resizing=False`
+
+Loading + rendering training rows ...
+Filtered augmentation: kept 9921/9921 base rows.
+  9,921 rows to train on
+Building input_ids from chunk_ids (direct-splice; no string round-trip) ...
+[transformers] Ignoring clean_up_tokenization_spaces=True for BPE tokenizer TokenizersBackend. The clean_up_tokenization post-processing step is designed for WordPiece tokenizers and is destructive for BPE (it strips spaces before punctuation). Set clean_up_tokenization_spaces=False to suppress this warning, or set clean_up_tokenization_spaces_for_bpe_even_though_it_will_corrupt_output=True to force cleanup anyway.
+  Row 0 preview (first 300 chars of decoded):
+    '<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nTranslate the following text from English into Vietnamese with high latency.<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nI said at the beginning,<|'
+    n_ids=57, labels_masked=33
+  Row 1 preview (first 300 chars of decoded):
+    '<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nTranslate the following text from English into Vietnamese with high latency.<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nThe nearest hospital was a'
+    n_ids=60, labels_masked=33
+
+
+  Split: 9921 unique idx -> train 9425 idx (9425 rows), eval 496 idx (496 rows)
+[RANK 0] Detected kernel version 4.18.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
+
+Starting training ...
+
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+
                                                   
+
                                                 
+
+
+
                                                 
+
+
+
                                                   
+
+
+Training complete in 1920.2s
+  final train loss: 17.5319
+  best checkpoint (eval_loss): results/train/llama_3_8b_curated_en_vi/checkpoint-1000 @ eval_loss=2.033724784851074
+
+  cleanup: rm -rf results/train/llama_3_8b_curated_en_vi/checkpoint-1000
+
+Wrote summary to results/train/llama_3_8b_curated_en_vi/sft_v6_summary.json

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:366de55479774f9b7bf218c1c537984f6bff2370dd0b868bf8db80f4ff41a900
+size 16060589384

source_pool.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3bb977fce52ae55c7e1b55bd283eecafab3d4eb35a85b897c8718bae8b038ec7
+size 36484752

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0189bf75fc3079c590f882c6030673d2689cf7783ba617e62f49daf5aaca467
+size 17210346

tokenizer_config.json

@@ -0,0 +1,18 @@
+{
+  "backend": "tokenizers",
+  "bos_token": "<|begin_of_text|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "extra_special_tokens": [
+    "<|end-of-read|>",
+    "<|end-of-write|>"
+  ],
+  "is_local": true,
+  "local_files_only": true,
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "TokenizersBackend"
+}