tor-simt-llama-3-8b-gpt4-de-en — git@unknown

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

logs/sft.log

@@ -0,0 +1,247 @@
+Direct write is requested for job: 178304368.gadi-pbs, but the destination is not usecp-able from gadi-gpu-h200-0010.gadi.nci.org.au
+Loading python3/3.10.4
+  Loading requirement: intel-mkl/2021.4.0
+Output dir: results/train/llama_3_8b_gpt4_de_en
+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 10000/10000 base rows.
+  10,000 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 German into English with low latency.<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nDie Geschwindigkeit, mit der<|e'
+    n_ids=116, 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 German into English with low latency.<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nIn einem Land<|end-of-read|>In '
+    n_ids=96, labels_masked=33
+
+
+  Split: 10000 unique idx -> train 9500 idx (9500 rows), eval 500 idx (500 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 1923.3s
+  final train loss: 13.2754
+  best checkpoint (eval_loss): results/train/llama_3_8b_gpt4_de_en/checkpoint-1188 @ eval_loss=1.580105185508728
+
+  cleanup: rm -rf results/train/llama_3_8b_gpt4_de_en/checkpoint-1188
+
+Wrote summary to results/train/llama_3_8b_gpt4_de_en/sft_v6_summary.json

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac5720cc9cdb000f38a495e2d2e575936171e474d417a05e10a42c2b9206a512
+size 16060589384

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"
+}